{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {
    "collapsed": true
   },
   "source": [
    "# Visualizing Earnings Based On College Majors\n",
    "\n",
    "In this project, we'll be working with a dataset on the job outcomes of students who graduated from college between 2010 and 2012. The original data on job outcomes was released by [American Community Survey](https://www.census.gov/programs-surveys/acs/), which conducts surveys and aggregates the data. FiveThirtyEight cleaned the dataset and released it on their [Github repo](https://github.com/fivethirtyeight/data/tree/master/college-majors).\n",
    "\n",
    "Each row in the dataset represents a different major in college and contains information on gender diversity, employment rates, median salaries, and more. Here are some of the columns in the dataset:\n",
    "\n",
    "- Rank - Rank by median earnings (the dataset is ordered by this column).\n",
    "- Major_code - Major code.\n",
    "- Major - Major description.\n",
    "- Major_category - Category of major.\n",
    "- Total - Total number of people with major.\n",
    "- Sample_size - Sample size (unweighted) of full-time.\n",
    "- Men - Male graduates.\n",
    "- Women - Female graduates.\n",
    "- ShareWomen - Women as share of total.\n",
    "- Employed - Number employed.\n",
    "- Median - Median salary of full-time, year-round workers.\n",
    "- Low_wage_jobs - Number in low-wage service jobs.\n",
    "- Full_time - Number employed 35 hours or more.\n",
    "- Part_time - Number employed less than 35 hours.\n",
    "\n",
    "The aim of this project is to explore the data using visualizations techniques.\n",
    "\n",
    "## Dataset Description"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "RangeIndex: 173 entries, 0 to 172\n",
      "Data columns (total 21 columns):\n",
      "Rank                    173 non-null int64\n",
      "Major_code              173 non-null int64\n",
      "Major                   173 non-null object\n",
      "Total                   172 non-null float64\n",
      "Men                     172 non-null float64\n",
      "Women                   172 non-null float64\n",
      "Major_category          173 non-null object\n",
      "ShareWomen              172 non-null float64\n",
      "Sample_size             173 non-null int64\n",
      "Employed                173 non-null int64\n",
      "Full_time               173 non-null int64\n",
      "Part_time               173 non-null int64\n",
      "Full_time_year_round    173 non-null int64\n",
      "Unemployed              173 non-null int64\n",
      "Unemployment_rate       173 non-null float64\n",
      "Median                  173 non-null int64\n",
      "P25th                   173 non-null int64\n",
      "P75th                   173 non-null int64\n",
      "College_jobs            173 non-null int64\n",
      "Non_college_jobs        173 non-null int64\n",
      "Low_wage_jobs           173 non-null int64\n",
      "dtypes: float64(5), int64(14), object(2)\n",
      "memory usage: 28.5+ KB\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Rank</th>\n",
       "      <th>Major_code</th>\n",
       "      <th>Major</th>\n",
       "      <th>Total</th>\n",
       "      <th>Men</th>\n",
       "      <th>Women</th>\n",
       "      <th>Major_category</th>\n",
       "      <th>ShareWomen</th>\n",
       "      <th>Sample_size</th>\n",
       "      <th>Employed</th>\n",
       "      <th>...</th>\n",
       "      <th>Part_time</th>\n",
       "      <th>Full_time_year_round</th>\n",
       "      <th>Unemployed</th>\n",
       "      <th>Unemployment_rate</th>\n",
       "      <th>Median</th>\n",
       "      <th>P25th</th>\n",
       "      <th>P75th</th>\n",
       "      <th>College_jobs</th>\n",
       "      <th>Non_college_jobs</th>\n",
       "      <th>Low_wage_jobs</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>1</td>\n",
       "      <td>2419</td>\n",
       "      <td>PETROLEUM ENGINEERING</td>\n",
       "      <td>2339.0</td>\n",
       "      <td>2057.0</td>\n",
       "      <td>282.0</td>\n",
       "      <td>Engineering</td>\n",
       "      <td>0.120564</td>\n",
       "      <td>36</td>\n",
       "      <td>1976</td>\n",
       "      <td>...</td>\n",
       "      <td>270</td>\n",
       "      <td>1207</td>\n",
       "      <td>37</td>\n",
       "      <td>0.018381</td>\n",
       "      <td>110000</td>\n",
       "      <td>95000</td>\n",
       "      <td>125000</td>\n",
       "      <td>1534</td>\n",
       "      <td>364</td>\n",
       "      <td>193</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2</td>\n",
       "      <td>2416</td>\n",
       "      <td>MINING AND MINERAL ENGINEERING</td>\n",
       "      <td>756.0</td>\n",
       "      <td>679.0</td>\n",
       "      <td>77.0</td>\n",
       "      <td>Engineering</td>\n",
       "      <td>0.101852</td>\n",
       "      <td>7</td>\n",
       "      <td>640</td>\n",
       "      <td>...</td>\n",
       "      <td>170</td>\n",
       "      <td>388</td>\n",
       "      <td>85</td>\n",
       "      <td>0.117241</td>\n",
       "      <td>75000</td>\n",
       "      <td>55000</td>\n",
       "      <td>90000</td>\n",
       "      <td>350</td>\n",
       "      <td>257</td>\n",
       "      <td>50</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>3</td>\n",
       "      <td>2415</td>\n",
       "      <td>METALLURGICAL ENGINEERING</td>\n",
       "      <td>856.0</td>\n",
       "      <td>725.0</td>\n",
       "      <td>131.0</td>\n",
       "      <td>Engineering</td>\n",
       "      <td>0.153037</td>\n",
       "      <td>3</td>\n",
       "      <td>648</td>\n",
       "      <td>...</td>\n",
       "      <td>133</td>\n",
       "      <td>340</td>\n",
       "      <td>16</td>\n",
       "      <td>0.024096</td>\n",
       "      <td>73000</td>\n",
       "      <td>50000</td>\n",
       "      <td>105000</td>\n",
       "      <td>456</td>\n",
       "      <td>176</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>4</td>\n",
       "      <td>2417</td>\n",
       "      <td>NAVAL ARCHITECTURE AND MARINE ENGINEERING</td>\n",
       "      <td>1258.0</td>\n",
       "      <td>1123.0</td>\n",
       "      <td>135.0</td>\n",
       "      <td>Engineering</td>\n",
       "      <td>0.107313</td>\n",
       "      <td>16</td>\n",
       "      <td>758</td>\n",
       "      <td>...</td>\n",
       "      <td>150</td>\n",
       "      <td>692</td>\n",
       "      <td>40</td>\n",
       "      <td>0.050125</td>\n",
       "      <td>70000</td>\n",
       "      <td>43000</td>\n",
       "      <td>80000</td>\n",
       "      <td>529</td>\n",
       "      <td>102</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>5</td>\n",
       "      <td>2405</td>\n",
       "      <td>CHEMICAL ENGINEERING</td>\n",
       "      <td>32260.0</td>\n",
       "      <td>21239.0</td>\n",
       "      <td>11021.0</td>\n",
       "      <td>Engineering</td>\n",
       "      <td>0.341631</td>\n",
       "      <td>289</td>\n",
       "      <td>25694</td>\n",
       "      <td>...</td>\n",
       "      <td>5180</td>\n",
       "      <td>16697</td>\n",
       "      <td>1672</td>\n",
       "      <td>0.061098</td>\n",
       "      <td>65000</td>\n",
       "      <td>50000</td>\n",
       "      <td>75000</td>\n",
       "      <td>18314</td>\n",
       "      <td>4440</td>\n",
       "      <td>972</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>5 rows × 21 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "   Rank  Major_code                                      Major    Total  \\\n",
       "0     1        2419                      PETROLEUM ENGINEERING   2339.0   \n",
       "1     2        2416             MINING AND MINERAL ENGINEERING    756.0   \n",
       "2     3        2415                  METALLURGICAL ENGINEERING    856.0   \n",
       "3     4        2417  NAVAL ARCHITECTURE AND MARINE ENGINEERING   1258.0   \n",
       "4     5        2405                       CHEMICAL ENGINEERING  32260.0   \n",
       "\n",
       "       Men    Women Major_category  ShareWomen  Sample_size  Employed  \\\n",
       "0   2057.0    282.0    Engineering    0.120564           36      1976   \n",
       "1    679.0     77.0    Engineering    0.101852            7       640   \n",
       "2    725.0    131.0    Engineering    0.153037            3       648   \n",
       "3   1123.0    135.0    Engineering    0.107313           16       758   \n",
       "4  21239.0  11021.0    Engineering    0.341631          289     25694   \n",
       "\n",
       "       ...        Part_time  Full_time_year_round  Unemployed  \\\n",
       "0      ...              270                  1207          37   \n",
       "1      ...              170                   388          85   \n",
       "2      ...              133                   340          16   \n",
       "3      ...              150                   692          40   \n",
       "4      ...             5180                 16697        1672   \n",
       "\n",
       "   Unemployment_rate  Median  P25th   P75th  College_jobs  Non_college_jobs  \\\n",
       "0           0.018381  110000  95000  125000          1534               364   \n",
       "1           0.117241   75000  55000   90000           350               257   \n",
       "2           0.024096   73000  50000  105000           456               176   \n",
       "3           0.050125   70000  43000   80000           529               102   \n",
       "4           0.061098   65000  50000   75000         18314              4440   \n",
       "\n",
       "   Low_wage_jobs  \n",
       "0            193  \n",
       "1             50  \n",
       "2              0  \n",
       "3              0  \n",
       "4            972  \n",
       "\n",
       "[5 rows x 21 columns]"
      ]
     },
     "execution_count": 1,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "import pandas as pd\n",
    "import matplotlib.pyplot as plt\n",
    "%matplotlib inline\n",
    "\n",
    "recent_grads = pd.read_csv('recent-grads.csv')\n",
    "first_row = recent_grads.iloc[0]\n",
    "recent_grads.info()\n",
    "recent_grads_head = recent_grads.head()\n",
    "recent_grads_head"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {
    "collapsed": false,
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Rank</th>\n",
       "      <th>Major_code</th>\n",
       "      <th>Major</th>\n",
       "      <th>Total</th>\n",
       "      <th>Men</th>\n",
       "      <th>Women</th>\n",
       "      <th>Major_category</th>\n",
       "      <th>ShareWomen</th>\n",
       "      <th>Sample_size</th>\n",
       "      <th>Employed</th>\n",
       "      <th>...</th>\n",
       "      <th>Part_time</th>\n",
       "      <th>Full_time_year_round</th>\n",
       "      <th>Unemployed</th>\n",
       "      <th>Unemployment_rate</th>\n",
       "      <th>Median</th>\n",
       "      <th>P25th</th>\n",
       "      <th>P75th</th>\n",
       "      <th>College_jobs</th>\n",
       "      <th>Non_college_jobs</th>\n",
       "      <th>Low_wage_jobs</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>168</th>\n",
       "      <td>169</td>\n",
       "      <td>3609</td>\n",
       "      <td>ZOOLOGY</td>\n",
       "      <td>8409.0</td>\n",
       "      <td>3050.0</td>\n",
       "      <td>5359.0</td>\n",
       "      <td>Biology &amp; Life Science</td>\n",
       "      <td>0.637293</td>\n",
       "      <td>47</td>\n",
       "      <td>6259</td>\n",
       "      <td>...</td>\n",
       "      <td>2190</td>\n",
       "      <td>3602</td>\n",
       "      <td>304</td>\n",
       "      <td>0.046320</td>\n",
       "      <td>26000</td>\n",
       "      <td>20000</td>\n",
       "      <td>39000</td>\n",
       "      <td>2771</td>\n",
       "      <td>2947</td>\n",
       "      <td>743</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>169</th>\n",
       "      <td>170</td>\n",
       "      <td>5201</td>\n",
       "      <td>EDUCATIONAL PSYCHOLOGY</td>\n",
       "      <td>2854.0</td>\n",
       "      <td>522.0</td>\n",
       "      <td>2332.0</td>\n",
       "      <td>Psychology &amp; Social Work</td>\n",
       "      <td>0.817099</td>\n",
       "      <td>7</td>\n",
       "      <td>2125</td>\n",
       "      <td>...</td>\n",
       "      <td>572</td>\n",
       "      <td>1211</td>\n",
       "      <td>148</td>\n",
       "      <td>0.065112</td>\n",
       "      <td>25000</td>\n",
       "      <td>24000</td>\n",
       "      <td>34000</td>\n",
       "      <td>1488</td>\n",
       "      <td>615</td>\n",
       "      <td>82</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>170</th>\n",
       "      <td>171</td>\n",
       "      <td>5202</td>\n",
       "      <td>CLINICAL PSYCHOLOGY</td>\n",
       "      <td>2838.0</td>\n",
       "      <td>568.0</td>\n",
       "      <td>2270.0</td>\n",
       "      <td>Psychology &amp; Social Work</td>\n",
       "      <td>0.799859</td>\n",
       "      <td>13</td>\n",
       "      <td>2101</td>\n",
       "      <td>...</td>\n",
       "      <td>648</td>\n",
       "      <td>1293</td>\n",
       "      <td>368</td>\n",
       "      <td>0.149048</td>\n",
       "      <td>25000</td>\n",
       "      <td>25000</td>\n",
       "      <td>40000</td>\n",
       "      <td>986</td>\n",
       "      <td>870</td>\n",
       "      <td>622</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>171</th>\n",
       "      <td>172</td>\n",
       "      <td>5203</td>\n",
       "      <td>COUNSELING PSYCHOLOGY</td>\n",
       "      <td>4626.0</td>\n",
       "      <td>931.0</td>\n",
       "      <td>3695.0</td>\n",
       "      <td>Psychology &amp; Social Work</td>\n",
       "      <td>0.798746</td>\n",
       "      <td>21</td>\n",
       "      <td>3777</td>\n",
       "      <td>...</td>\n",
       "      <td>965</td>\n",
       "      <td>2738</td>\n",
       "      <td>214</td>\n",
       "      <td>0.053621</td>\n",
       "      <td>23400</td>\n",
       "      <td>19200</td>\n",
       "      <td>26000</td>\n",
       "      <td>2403</td>\n",
       "      <td>1245</td>\n",
       "      <td>308</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>172</th>\n",
       "      <td>173</td>\n",
       "      <td>3501</td>\n",
       "      <td>LIBRARY SCIENCE</td>\n",
       "      <td>1098.0</td>\n",
       "      <td>134.0</td>\n",
       "      <td>964.0</td>\n",
       "      <td>Education</td>\n",
       "      <td>0.877960</td>\n",
       "      <td>2</td>\n",
       "      <td>742</td>\n",
       "      <td>...</td>\n",
       "      <td>237</td>\n",
       "      <td>410</td>\n",
       "      <td>87</td>\n",
       "      <td>0.104946</td>\n",
       "      <td>22000</td>\n",
       "      <td>20000</td>\n",
       "      <td>22000</td>\n",
       "      <td>288</td>\n",
       "      <td>338</td>\n",
       "      <td>192</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>5 rows × 21 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "     Rank  Major_code                   Major   Total     Men   Women  \\\n",
       "168   169        3609                 ZOOLOGY  8409.0  3050.0  5359.0   \n",
       "169   170        5201  EDUCATIONAL PSYCHOLOGY  2854.0   522.0  2332.0   \n",
       "170   171        5202     CLINICAL PSYCHOLOGY  2838.0   568.0  2270.0   \n",
       "171   172        5203   COUNSELING PSYCHOLOGY  4626.0   931.0  3695.0   \n",
       "172   173        3501         LIBRARY SCIENCE  1098.0   134.0   964.0   \n",
       "\n",
       "               Major_category  ShareWomen  Sample_size  Employed  \\\n",
       "168    Biology & Life Science    0.637293           47      6259   \n",
       "169  Psychology & Social Work    0.817099            7      2125   \n",
       "170  Psychology & Social Work    0.799859           13      2101   \n",
       "171  Psychology & Social Work    0.798746           21      3777   \n",
       "172                 Education    0.877960            2       742   \n",
       "\n",
       "         ...        Part_time  Full_time_year_round  Unemployed  \\\n",
       "168      ...             2190                  3602         304   \n",
       "169      ...              572                  1211         148   \n",
       "170      ...              648                  1293         368   \n",
       "171      ...              965                  2738         214   \n",
       "172      ...              237                   410          87   \n",
       "\n",
       "     Unemployment_rate  Median  P25th  P75th  College_jobs  Non_college_jobs  \\\n",
       "168           0.046320   26000  20000  39000          2771              2947   \n",
       "169           0.065112   25000  24000  34000          1488               615   \n",
       "170           0.149048   25000  25000  40000           986               870   \n",
       "171           0.053621   23400  19200  26000          2403              1245   \n",
       "172           0.104946   22000  20000  22000           288               338   \n",
       "\n",
       "     Low_wage_jobs  \n",
       "168            743  \n",
       "169             82  \n",
       "170            622  \n",
       "171            308  \n",
       "172            192  \n",
       "\n",
       "[5 rows x 21 columns]"
      ]
     },
     "execution_count": 2,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "recent_grads_tail = recent_grads.tail()\n",
    "recent_grads_tail"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Data Exploration and Cleaning\n",
    "\n",
    "In this section, we describe the statistical information of the dataset and clean the dataset, dropping the missing values."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {
    "collapsed": false,
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Rank</th>\n",
       "      <th>Major_code</th>\n",
       "      <th>Major</th>\n",
       "      <th>Total</th>\n",
       "      <th>Men</th>\n",
       "      <th>Women</th>\n",
       "      <th>Major_category</th>\n",
       "      <th>ShareWomen</th>\n",
       "      <th>Sample_size</th>\n",
       "      <th>Employed</th>\n",
       "      <th>...</th>\n",
       "      <th>Part_time</th>\n",
       "      <th>Full_time_year_round</th>\n",
       "      <th>Unemployed</th>\n",
       "      <th>Unemployment_rate</th>\n",
       "      <th>Median</th>\n",
       "      <th>P25th</th>\n",
       "      <th>P75th</th>\n",
       "      <th>College_jobs</th>\n",
       "      <th>Non_college_jobs</th>\n",
       "      <th>Low_wage_jobs</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>count</th>\n",
       "      <td>173.000000</td>\n",
       "      <td>173.000000</td>\n",
       "      <td>173</td>\n",
       "      <td>172.000000</td>\n",
       "      <td>172.000000</td>\n",
       "      <td>172.000000</td>\n",
       "      <td>173</td>\n",
       "      <td>172.000000</td>\n",
       "      <td>173.000000</td>\n",
       "      <td>173.000000</td>\n",
       "      <td>...</td>\n",
       "      <td>173.000000</td>\n",
       "      <td>173.000000</td>\n",
       "      <td>173.000000</td>\n",
       "      <td>173.000000</td>\n",
       "      <td>173.000000</td>\n",
       "      <td>173.000000</td>\n",
       "      <td>173.000000</td>\n",
       "      <td>173.000000</td>\n",
       "      <td>173.000000</td>\n",
       "      <td>173.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>unique</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>173</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>16</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>top</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>SOCIAL SCIENCE OR HISTORY TEACHER EDUCATION</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Engineering</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>freq</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>29</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>mean</th>\n",
       "      <td>87.000000</td>\n",
       "      <td>3879.815029</td>\n",
       "      <td>NaN</td>\n",
       "      <td>39370.081395</td>\n",
       "      <td>16723.406977</td>\n",
       "      <td>22646.674419</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.522223</td>\n",
       "      <td>356.080925</td>\n",
       "      <td>31192.763006</td>\n",
       "      <td>...</td>\n",
       "      <td>8832.398844</td>\n",
       "      <td>19694.427746</td>\n",
       "      <td>2416.329480</td>\n",
       "      <td>0.068191</td>\n",
       "      <td>40151.445087</td>\n",
       "      <td>29501.445087</td>\n",
       "      <td>51494.219653</td>\n",
       "      <td>12322.635838</td>\n",
       "      <td>13284.497110</td>\n",
       "      <td>3859.017341</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>std</th>\n",
       "      <td>50.084928</td>\n",
       "      <td>1687.753140</td>\n",
       "      <td>NaN</td>\n",
       "      <td>63483.491009</td>\n",
       "      <td>28122.433474</td>\n",
       "      <td>41057.330740</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.231205</td>\n",
       "      <td>618.361022</td>\n",
       "      <td>50675.002241</td>\n",
       "      <td>...</td>\n",
       "      <td>14648.179473</td>\n",
       "      <td>33160.941514</td>\n",
       "      <td>4112.803148</td>\n",
       "      <td>0.030331</td>\n",
       "      <td>11470.181802</td>\n",
       "      <td>9166.005235</td>\n",
       "      <td>14906.279740</td>\n",
       "      <td>21299.868863</td>\n",
       "      <td>23789.655363</td>\n",
       "      <td>6944.998579</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>min</th>\n",
       "      <td>1.000000</td>\n",
       "      <td>1100.000000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>124.000000</td>\n",
       "      <td>119.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>2.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>111.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>22000.000000</td>\n",
       "      <td>18500.000000</td>\n",
       "      <td>22000.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25%</th>\n",
       "      <td>44.000000</td>\n",
       "      <td>2403.000000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>4549.750000</td>\n",
       "      <td>2177.500000</td>\n",
       "      <td>1778.250000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.336026</td>\n",
       "      <td>39.000000</td>\n",
       "      <td>3608.000000</td>\n",
       "      <td>...</td>\n",
       "      <td>1030.000000</td>\n",
       "      <td>2453.000000</td>\n",
       "      <td>304.000000</td>\n",
       "      <td>0.050306</td>\n",
       "      <td>33000.000000</td>\n",
       "      <td>24000.000000</td>\n",
       "      <td>42000.000000</td>\n",
       "      <td>1675.000000</td>\n",
       "      <td>1591.000000</td>\n",
       "      <td>340.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50%</th>\n",
       "      <td>87.000000</td>\n",
       "      <td>3608.000000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>15104.000000</td>\n",
       "      <td>5434.000000</td>\n",
       "      <td>8386.500000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.534024</td>\n",
       "      <td>130.000000</td>\n",
       "      <td>11797.000000</td>\n",
       "      <td>...</td>\n",
       "      <td>3299.000000</td>\n",
       "      <td>7413.000000</td>\n",
       "      <td>893.000000</td>\n",
       "      <td>0.067961</td>\n",
       "      <td>36000.000000</td>\n",
       "      <td>27000.000000</td>\n",
       "      <td>47000.000000</td>\n",
       "      <td>4390.000000</td>\n",
       "      <td>4595.000000</td>\n",
       "      <td>1231.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>75%</th>\n",
       "      <td>130.000000</td>\n",
       "      <td>5503.000000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>38909.750000</td>\n",
       "      <td>14631.000000</td>\n",
       "      <td>22553.750000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.703299</td>\n",
       "      <td>338.000000</td>\n",
       "      <td>31433.000000</td>\n",
       "      <td>...</td>\n",
       "      <td>9948.000000</td>\n",
       "      <td>16891.000000</td>\n",
       "      <td>2393.000000</td>\n",
       "      <td>0.087557</td>\n",
       "      <td>45000.000000</td>\n",
       "      <td>33000.000000</td>\n",
       "      <td>60000.000000</td>\n",
       "      <td>14444.000000</td>\n",
       "      <td>11783.000000</td>\n",
       "      <td>3466.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>max</th>\n",
       "      <td>173.000000</td>\n",
       "      <td>6403.000000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>393735.000000</td>\n",
       "      <td>173809.000000</td>\n",
       "      <td>307087.000000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.968954</td>\n",
       "      <td>4212.000000</td>\n",
       "      <td>307933.000000</td>\n",
       "      <td>...</td>\n",
       "      <td>115172.000000</td>\n",
       "      <td>199897.000000</td>\n",
       "      <td>28169.000000</td>\n",
       "      <td>0.177226</td>\n",
       "      <td>110000.000000</td>\n",
       "      <td>95000.000000</td>\n",
       "      <td>125000.000000</td>\n",
       "      <td>151643.000000</td>\n",
       "      <td>148395.000000</td>\n",
       "      <td>48207.000000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>11 rows × 21 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "              Rank   Major_code                                        Major  \\\n",
       "count   173.000000   173.000000                                          173   \n",
       "unique         NaN          NaN                                          173   \n",
       "top            NaN          NaN  SOCIAL SCIENCE OR HISTORY TEACHER EDUCATION   \n",
       "freq           NaN          NaN                                            1   \n",
       "mean     87.000000  3879.815029                                          NaN   \n",
       "std      50.084928  1687.753140                                          NaN   \n",
       "min       1.000000  1100.000000                                          NaN   \n",
       "25%      44.000000  2403.000000                                          NaN   \n",
       "50%      87.000000  3608.000000                                          NaN   \n",
       "75%     130.000000  5503.000000                                          NaN   \n",
       "max     173.000000  6403.000000                                          NaN   \n",
       "\n",
       "                Total            Men          Women Major_category  \\\n",
       "count      172.000000     172.000000     172.000000            173   \n",
       "unique            NaN            NaN            NaN             16   \n",
       "top               NaN            NaN            NaN    Engineering   \n",
       "freq              NaN            NaN            NaN             29   \n",
       "mean     39370.081395   16723.406977   22646.674419            NaN   \n",
       "std      63483.491009   28122.433474   41057.330740            NaN   \n",
       "min        124.000000     119.000000       0.000000            NaN   \n",
       "25%       4549.750000    2177.500000    1778.250000            NaN   \n",
       "50%      15104.000000    5434.000000    8386.500000            NaN   \n",
       "75%      38909.750000   14631.000000   22553.750000            NaN   \n",
       "max     393735.000000  173809.000000  307087.000000            NaN   \n",
       "\n",
       "        ShareWomen  Sample_size       Employed      ...            Part_time  \\\n",
       "count   172.000000   173.000000     173.000000      ...           173.000000   \n",
       "unique         NaN          NaN            NaN      ...                  NaN   \n",
       "top            NaN          NaN            NaN      ...                  NaN   \n",
       "freq           NaN          NaN            NaN      ...                  NaN   \n",
       "mean      0.522223   356.080925   31192.763006      ...          8832.398844   \n",
       "std       0.231205   618.361022   50675.002241      ...         14648.179473   \n",
       "min       0.000000     2.000000       0.000000      ...             0.000000   \n",
       "25%       0.336026    39.000000    3608.000000      ...          1030.000000   \n",
       "50%       0.534024   130.000000   11797.000000      ...          3299.000000   \n",
       "75%       0.703299   338.000000   31433.000000      ...          9948.000000   \n",
       "max       0.968954  4212.000000  307933.000000      ...        115172.000000   \n",
       "\n",
       "        Full_time_year_round    Unemployed  Unemployment_rate         Median  \\\n",
       "count             173.000000    173.000000         173.000000     173.000000   \n",
       "unique                   NaN           NaN                NaN            NaN   \n",
       "top                      NaN           NaN                NaN            NaN   \n",
       "freq                     NaN           NaN                NaN            NaN   \n",
       "mean            19694.427746   2416.329480           0.068191   40151.445087   \n",
       "std             33160.941514   4112.803148           0.030331   11470.181802   \n",
       "min               111.000000      0.000000           0.000000   22000.000000   \n",
       "25%              2453.000000    304.000000           0.050306   33000.000000   \n",
       "50%              7413.000000    893.000000           0.067961   36000.000000   \n",
       "75%             16891.000000   2393.000000           0.087557   45000.000000   \n",
       "max            199897.000000  28169.000000           0.177226  110000.000000   \n",
       "\n",
       "               P25th          P75th   College_jobs  Non_college_jobs  \\\n",
       "count     173.000000     173.000000     173.000000        173.000000   \n",
       "unique           NaN            NaN            NaN               NaN   \n",
       "top              NaN            NaN            NaN               NaN   \n",
       "freq             NaN            NaN            NaN               NaN   \n",
       "mean    29501.445087   51494.219653   12322.635838      13284.497110   \n",
       "std      9166.005235   14906.279740   21299.868863      23789.655363   \n",
       "min     18500.000000   22000.000000       0.000000          0.000000   \n",
       "25%     24000.000000   42000.000000    1675.000000       1591.000000   \n",
       "50%     27000.000000   47000.000000    4390.000000       4595.000000   \n",
       "75%     33000.000000   60000.000000   14444.000000      11783.000000   \n",
       "max     95000.000000  125000.000000  151643.000000     148395.000000   \n",
       "\n",
       "        Low_wage_jobs  \n",
       "count      173.000000  \n",
       "unique            NaN  \n",
       "top               NaN  \n",
       "freq              NaN  \n",
       "mean      3859.017341  \n",
       "std       6944.998579  \n",
       "min          0.000000  \n",
       "25%        340.000000  \n",
       "50%       1231.000000  \n",
       "75%       3466.000000  \n",
       "max      48207.000000  \n",
       "\n",
       "[11 rows x 21 columns]"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "recent_grads.describe(include = 'all')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {
    "collapsed": false,
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Number of initial rows in the dataset: 173\n",
      "Number of cleaned data rows: 172\n"
     ]
    }
   ],
   "source": [
    "raw_data_count = recent_grads.shape[0]\n",
    "print('Number of initial rows in the dataset:', raw_data_count)\n",
    "\n",
    "recent_grads = recent_grads.dropna()\n",
    "cleaned_data_count = recent_grads.shape[0]\n",
    "print('Number of cleaned data rows:', cleaned_data_count)\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Exploring and Visualizing relations between different columns in the dataset\n",
    "\n",
    "In this section, we will explore the dataset using different kind of plots.\n",
    "\n",
    "### Visualizing relations using scatter plots\n",
    "We will use scatter plots to show the relations between the following columns:\n",
    "\n",
    "- Sample_size and Median\n",
    "- Sample_size and Unemployment_rate\n",
    "- Full_time and Median\n",
    "- ShareWomen and Unemployment_rate\n",
    "- Men and Median\n",
    "- Women and Median\n",
    "- Total and Median"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {
    "collapsed": false,
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(-100, 5000)"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAaMAAAEaCAYAAAC8UDhJAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\nSCmllOH+Pz1b2jh7ksN6AAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7f5f0edc4d68>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "ax = recent_grads.plot(x='Sample_size', y='Median', kind='scatter')\n",
    "ax.set_title('Sample_size vs. Median')\n",
    "ax.set_xlim(-100, 5000)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {
    "collapsed": false,
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(-0.01, 0.2)"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAZQAAAEaCAYAAAA2f6EIAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\nAABJRU5ErkJggg==\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7f5f0eed34e0>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "ax = recent_grads.plot(x='Sample_size', y='Unemployment_rate', kind='scatter')\n",
    "ax.set_title('Sample_size vs. Unemployment_rate')\n",
    "ax.set_xlim(-100, 5000)\n",
    "ax.set_ylim(-0.01, 0.2)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {
    "collapsed": false,
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(-5000, 300000)"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAakAAAEaCAYAAACrcqiAAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7f5f0cd3c1d0>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "ax = recent_grads.plot(x='Full_time', y='Median', kind='scatter')\n",
    "ax.set_title('Full_time vs. Median')\n",
    "ax.set_xlim(-5000,300000)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(-0.01, 0.2)"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAY8AAAEZCAYAAABvpam5AAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7f5f0cd5f240>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "ax = recent_grads.plot(x='ShareWomen', y='Unemployment_rate', kind='scatter')\n",
    "ax.set_title('ShareWomen vs. Unemployment_rate')\n",
    "ax.set_xlim(-0.05,1.2)\n",
    "ax.set_ylim(-0.01, 0.2)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(-5000, 200000)"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAakAAAEZCAYAAAAt5touAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\nAElFTkSuQmCC\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7f5f0cc804a8>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "ax = recent_grads.plot(x='Men', y='Median', kind='scatter')\n",
    "ax.set_title('Men vs. Median')\n",
    "ax.set_xlim(-5000,200000)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(-10000, 350000)"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAakAAAEZCAYAAAAt5touAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7f5f0cbe5048>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "ax = recent_grads.plot(x='Women', y='Median', kind='scatter')\n",
    "ax.set_title('Women vs. Median')\n",
    "ax.set_xlim(-10000,350000)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "The last 6 figures show that there are no correlation between the variables that each of them show."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {
    "collapsed": false,
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(-5000, 400000)"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAakAAAEZCAYAAAAt5touAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\nmZ0dz9OXSdYAAAAASUVORK5CYII=\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7f5f0ccd3240>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "ax = recent_grads.plot(x='Total', y='Median', kind='scatter')\n",
    "ax.set_title('Total vs. Median')\n",
    "ax.set_xlim(-5000,400000)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(-0.05, 1.2)"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAZ4AAAEZCAYAAACnyUNvAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\nceBhjDEmKg48jDHGRPX/Abt6P9KpdKEEAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7f5f0cb69a58>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "ax = recent_grads.plot(x='ShareWomen', y='Median', kind='scatter')\n",
    "ax.set_title('ShareWomen vs. Median')\n",
    "ax.set_xlim(-0.05,1.2)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "We use some of these plots to explore and answer the following questions:\n",
    "\n",
    "- Do students in more popular majors make more money?\n",
    "\n",
    "The students in popular majors (Total more than 50000) present a median salary similar to the rest of the majors. However, a few of them present higher salaries.\n",
    "\n",
    "- Do students that majored in subjects that were majority female make more money?\n",
    "\n",
    "Most of the students that belong to majors that were majority female (ShareWomen higher than 0.6) present low median salaries. However, a few majors achive median salaries between 40000 and 60000. Notice how when the number of share women increases the median salary decreases.\n",
    "\n",
    "- Is there any link between the number of full-time employees and median salary?\n",
    "\n",
    "We can see how for the low values of the number of full-time employees  the median salary is high. However, in general there are not relation between the number of full time employees and the median salary.\n",
    "\n",
    "### Visualizing distributions of variables using histograms\n",
    "Now, we will generate histograms to explore the distributions of the following columns:\n",
    "- Sample_size\n",
    "- Median\n",
    "- Employed\n",
    "- Full_time\n",
    "- ShareWomen\n",
    "- Unemployment_rate\n",
    "- Men\n",
    "- Women"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x7f5f0cb52dd8>"
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAYEAAAEACAYAAABVtcpZAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7f5f0cc077f0>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "recent_grads['Sample_size'].hist(bins=20, range=(0,5000))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x7f5f0ca29b70>"
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAYEAAAEACAYAAABVtcpZAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7f5f0cb626a0>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "recent_grads['Median'].hist(bins=20, range=(20000,110000))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {
    "collapsed": false,
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x7f5f0cacf898>"
      ]
     },
     "execution_count": 15,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAX0AAAEACAYAAABfxaZOAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz\nAAALEgAACxIB0t1+/AAAFv1JREFUeJzt3WtsFOfZxvFrTdJ8eB0CJLCLIGUjwI7Bxmsi7FTlg0vL\nqYrtVCLNoUohHKQ2qkJFpSBVrRp/4aAeFBpaKUqbQqUUSqUolqIGSKuMRFAjC4FFRWmlvGA3tliT\nYL8QkybU8LwfbK8Bj2PvzszO7DP/n2ThWe8+c98749vm2l1vwhhjBACIhbKwCwAAFA9DHwBihKEP\nADHC0AeAGGHoA0CMMPQBIEYmHPrd3d1asWKFFi9erJqaGr300kuSpNbWVs2dO1dLly7V0qVLdfjw\n4cCLBQB4k5joefrZbFbZbFaZTEYDAwN66KGH1NbWpj/+8Y+6++67tW3btmLVCgDw6I6JrpBKpZRK\npSRJ5eXlqqqqUk9PjySJ13UBQGnJK9Pv7OxUR0eHGhoaJEl79+5VJpPR5s2bdfny5UAKBAD4Z9JD\nf2BgQOvWrdOePXtUXl6uZ599VufOnVNHR4dSqRQxDwCUgAkzfUkaHBzUI488orVr12rr1q1jvt7V\n1aWmpiadPn167A4SCX8qBYCYCSJCn9Rv+hs3btSiRYtuGfjZbDb3+euvv67q6upxb2+MsfbjJz/5\nSeg10B+90Z99H0GZ8IHc48eP67XXXlNNTY3q6uqUSCS0Y8cO/eEPf1BHR4fKysqUTqf18ssvB1Zk\nlHV2doZdQqBs7s/m3iT6g7sJh/6Xv/xlXb9+fczla9asCaQgAEBweEWuRxs2bAi7hEDZ3J/NvUn0\nB3eTeiDX0w4SiUDzKQCwUVCzk9/0PXIcJ+wSAmVzfzb3JtEf3DH0ASBGiHcAIIKIdwAAnjH0PbI9\nV7S5P5t7k+gP7hj6ABAjZPoAEEFk+gAAzxj6HtmeK9rcn829SfQHdwx9AIgRMn0AiCAyfQCAZwx9\nj2zPFW3uz+beJPqDO4Y+AMQImT4ARBCZPgDAM4a+R7bnijb3Z3NvEv3BHUMfAGKETB8AIohMHwDg\nGUPfI9tzRZv7s7k3if7gjqEPADFCpg8AEUSmDwDwjKHvke25os392dybRH9wx9AHgBgh0weACCLT\nBwB4xtD3yPZc0eb+bO5Noj+4K4mhn0qllUgkCv5IpdJhtwAAkVASmX4ikZDkZQ0eVwBQWsj0AQCe\nMfQ9sj1XtLk/m3uT6A/uGPoAECMTZvrd3d369re/rd7eXpWVlWnLli167rnn1N/fr8cff1xdXV1K\np9M6dOiQ7rnnnrE7INMHgLwFlelPOPSz2ayy2awymYwGBgb00EMPqa2tTb/73e9077336vnnn9fu\n3bvV39+vXbt2BVI4Qx9A3IT2QG4qlVImk5EklZeXq6qqSt3d3Wpra9P69eslSevXr9cbb7zhe3Gl\nwPZc0eb+bO5Noj+4yyvT7+zsVEdHhx5++GH19vYqmUxKGvrBcPHixUAKBAD4547JXnFgYEDr1q3T\nnj17VF5ePhy5jLp9+2YbNmxQOp2WJE2bNk2ZTEaNjY2SRn9aT7Q9amS7Mc9t5bW/yW6PXObXelHb\ntrm/xsbGSNVDf/Huz3Ec7du3T5Jy8zIIk3px1uDgoB555BGtXbtWW7dulSRVVVXJcRwlk0lls1l9\n5Stf0dmzZ8fugEwfAPIW6ouzNm7cqEWLFuUGviQ1Nzfnfirt379fLS0tvhdXCkZ+UtvK5v5s7k2i\nP7ibMN45fvy4XnvtNdXU1Kiurk6JREI7duzQ9u3b9c1vflOvvvqq5s2bp0OHDhWjXgCAB/ztHQCI\nIP72DgDAM4a+R7bnijb3Z3NvEv3BHUMfAGKETB8AIohMHwDgGUPfI9tzRZv7s7k3if7gjqEPADFC\npg8AEUSmDwDwjKHvke25os392dybRH9wx9AHgBgh0weACCLTBwB4xtD3yPZc0eb+bO5Noj+4Y+gD\nQIyQ6QNABJHpAwA8Y+h7ZHuuaHN/Nvcm0R/cMfQBIEbI9AEggsj0AQCe3VGMnezYsaPg25aXl/tY\nif8cx1FjY2PYZQTG5v5s7k2iP7grytD/8Y8HCr7tnXfu8bESAIi3omT6XvL4qVPrdOVKh6c1yPQB\nlBoyfQCAZwx9j2x/rrDN/dncm0R/cMfQB4AYIdMHgAgi0wcAeMbQ98j2XNHm/mzuTaI/uGPoA0CM\nkOkDQASR6QMAPGPoe2R7rmhzfzb3JtEf3DH0ASBGJsz0N23apDfffFPJZFKnT5+WJLW2tuqVV17R\nrFmzJA39Fc01a9a474BMHwDyFlqm/8wzz+jIkSNjLt+2bZtOnjypkydPjjvwAQDRMuHQX758uaZP\nnz7mcn5zHmJ7rmhzfzb3JtEf3BWc6e/du1eZTEabN2/W5cuX/awJABCQST1Pv6urS01NTblM/8MP\nP9R9992nRCKhH/3oR7pw4YJ++9vfuu+ATB8A8hZUpl/QO2fNnDkz9/mWLVvU1NQ0wS02SEoPfz5N\nUkZS4/C2M/yv+/bg4Me3rfX51x9/e3hr+L+EI2+zxjbbbLMdhW3HcbRv3z5JUjqdVmDMJJw/f95U\nV1fnti9cuJD7/Be/+IV58sknx72tJCOZgj+mTs14XmOSbRbknXfeCWztKLC5P5t7M4b+Sl1Qc2vC\n3/SfeuopOY6jS5cu6Ytf/KJaW1v1zjvvqKOjQ2VlZUqn03r55ZeD+6kEAPANf3sHACKIv70DAPCM\noe/RyAMxtrK5P5t7k+gP7hj6ABAjZPoAEEFk+gAAzxj6HtmeK9rcn829SfQHdwx9AIgRMn0AiCAy\nfQCAZwx9j2zPFW3uz+beJPqDO4Y+AMQImT4ARBCZPgDAM4a+R7bnijb3Z3NvEv3BHUMfAGKETB8A\nIohMHwDgGUPfI9tzRZv7s7k3if7gjqEPADFCpg8AEUSmDwDwjKHvke25os392dybRH9wx9AHgBgh\n0weACCLTBwB4xtD3yPZc0eb+bO5Noj+4Y+gDQIyQ6QNABJHpAwA8Y+h7ZHuuaHN/Nvcm0R/cMfQB\nIEbI9AEggsj0PblLiUTC00cqlQ67CQDwLCZD/zMN/U+h8I/e3i7XlW3PFW3uz+beJPqDu5gMfQCA\nFKNM39vth9bgcQEAxRJapr9p0yYlk0ktWbIkd1l/f79WrVqlyspKrV69WpcvX/a9MACA/yYc+s88\n84yOHDlyy2W7du3S1772Nf3rX//SihUrtHPnzsAKjDrbc0Wb+7O5N4n+4G7Cob98+XJNnz79lsva\n2tq0fv16SdL69ev1xhtvBFMdAMBXk8r0u7q61NTUpNOnT0uSZsyYob6+vtzXb9++ZQdk+gCQt0g/\nT39osAMAou6OQm6UTCbV29urZDKpbDarWbNmTXCLDZLSw59Pk5SR1Di87Qz/6749OPjxbWt9/vXH\n3/bn9iM5YmPj0NdffPFFZTKZ3PbtX/d7e8aMlPr7e1WoROIuGfNZwbeXpOnTk+rry7rWV0rbN2fC\nUaiH/uLdn+M42rdvnyQpnU4rKJOKdzo7O9XU1KS///3vkqTt27drxowZ2r59u3bv3q3+/n7t2rXL\nfQeWxzuO4+QOYDF4vT/zvy8cjf4AHF3Dhqir2Meu2OivtAUV70w49J966ik5jqNLly4pmUyqtbVV\njz76qB577DF98MEHmjdvng4dOqRp06aNW7jNQ7/Yij/03deIwn0B2Cy0oe95Bwx9XzH0gXiI9AO5\ncXZzrmgnJ+wCAmP7saM/uGHoA0CMEO/ksUYUIg3iHSAeiHcAAJ4x9D3KJ1dMpdKe38yl+JwQ9lkc\ntmfC9Ac3Bb04C4UZeiMW79EKABSKTD+PNbzeVd7z+KE6bLgvAHw+Mn0AgGcMfY/szxWdsAsIjO3H\njv7ghqEPADFCpp/HGmT6o2uQ6QPBItMHAHjG0PfI/lzRCbuAwNh+7OgPbhj6ABAjZPp5rEGmP7oG\nmT4QLDJ9AIBnDH2P7M8VnbALCIztx47+4IahDwAxQqafxxpk+qNrkOkDwSLTBwB4xtD3yP5c0Qm7\ngMDYfuzoD24Y+gAQI2T6eaxBpj+6htf7IpVKD7+pTOGSyXnKZjtLugZgPEFl+gz9PNZg6I+uEZX7\nwksdUagBGA8P5EaU/bmiE3YBKJDt56bt/QWFoQ8AMUK8k8caUYk0uC/8qSMKNQDjId4BAHjG0PfI\n/lzRCbsAFMj2c9P2/oLC0AeAGCHTz2ONqOTY3Bf+1BGFGoDxBJXp3+H7ikDR3DU8uAFMFvGOR/bn\nik7YBXyOzzT0m3qhH3az/dy0vb+gMPQBIEbI9PNYIyo5NvfFaB023BeAG56nDwDwzNPQT6fTqq2t\nVV1dnerr6/2qqaTYnys6YReAAtl+btreX1A8PXunrKxMjuNo+vTpftUDAAiQp0z/gQce0IkTJ3Tv\nvfeOvwMy/dEVyLFHV+C+AD5XJDP9RCKhlStXatmyZXrllVf8qgkAEBBP8c7x48c1e/Zsffjhh1q5\ncqWqqqq0fPlyl2tukJQe/nyapIykxuFtZ/hf9+3BwY9vW+vzrz/+tj+3H8kRGxuHvv7iiy8qk8nk\ntm//+u3bhe9/ZHvksmLd/kWNPV53+viiqIn2H/XtoWM82eNfzO2bM+8o1DOZ7RkzUurv75UX06cn\n1deXjUQ/+R6vffv2SRp6vDQovj1ls7W1VXfffbe2bdt26w4sj3du/oafcIWSjDQc3foDw48aorKG\n3fFOPudmVOT3PeJo7LkpRfmY5CNy8c4nn3yigYEBSdLVq1d19OhRVVdX+1ZYqSi1b6r8NYZdAArE\nuQk3Bcc7vb29+sY3vqFEIqHBwUF961vf0qpVq/ysDQDgM16Rm8caxDt+1RCVNYh3ooZ4Z1Tk4h0A\nQOnhN/081uC56batEY3zAqN4j4NR/KYPAPCMoe+R/X//wwm7ABSIcxNuGPqAJ0Pv3uXlI5VKh90E\nYoRMP481yPRtWyMKNQytYUMG7Qcy/VFk+gAAzxj6HpGbIqo4N+GGoQ8AMUKmn8caZPq2rRGFGobW\nsCGD9gOZ/igyfQCAZwx9j8hNEVWcm3DD0AeAGPH0zlnxcpeP7xZVShrDLgCTkEql1dvbVfDtk8l5\nymY7/SuoKBrHudzb92pp3heTx9CftM/kz4N+gP+GBn7h52dvr03nprfvVbvui7GIdzxzwi4gYE7Y\nBaBgTtgFBMwJu4CSxNAHgBjhefqxWyMKNURljSjUMLRG+K8BicZz26PyWpao3Bc8Tx8A4AlD3zMn\n7AIC5oRdAArmhF1AwJywCyhJDH0AiBEy/ditEYUaorJGFGoYWoNMf7gKMv3RKsj0AaA0pFJpz++o\nFhSGvmdO2AUEzAm7ABTMCbuAgDlhFzCu0RfLefkIBkMfAGKETD92a0ShhqisEYUahtYg0x+uwpJM\nP8rvC8Bv+gAQIwx9z5ywCwiYE3YBKJgTdgEBc8IuoCQx9AEgRsj0Y7dGFGqIyhpRqGFojfAzZDL9\nm28f/vHwpw43/KYPADHC0PfMCbuAgDlhFxADdwX0Qh6nqDVMmfI/RX5BUj795SOo4xENvHMWELoo\nvCub9xpu3PArmglbFI5HcMj0Y7dGFGqIyhpRqCEqa0ShhqisEYUahtYg0wcAeOJp6B8+fFgPPvig\nKioqtHv3br9qKjFO2AUEzAm7ABTMCbuAgDlhF1CSCh76N27c0Pe+9z0dOXJEZ86c0YEDB/TPf/7T\nz9pKREfYBQTM9v5sZvuxs72/YBQ89Nvb27Vw4ULNmzdPd955p5544gm1tbX5WVuJ+L+wCwiY7f3Z\nzPZjZ3t/wSh46Pf09Oj+++/Pbc+dO1c9PT2+FAUACEZRnrI5dWpTwbf99NP/9bGSIHSGXUDAOsMu\nAAXrDLuAgHWGXUBJKnjoz5kzR//+979z293d3ZozZ47rda9cebPQ3dzE6/Ne/Xje7Hhr7I9IHUHd\n3q2/KPThxxpRqCHINUrt3Mx3jfH6s+W88F/Bz9O/fv26Kisr9de//lWzZ89WfX29Dhw4oKqqKr9r\nBAD4pODf9KdMmaK9e/dq1apVunHjhjZt2sTAB4CIC/wVuQCA6AjsFbml/MKtdDqt2tpa1dXVqb6+\nXpLU39+vVatWqbKyUqtXr9bly5dz19+5c6cWLlyoqqoqHT16NHf5yZMntWTJElVUVOj73/9+0fsY\nsWnTJiWTSS1ZsiR3mZ/9XLt2TU888YQWLlyoL33pS7c81lMMbv21trZq7ty5Wrp0qZYuXarDhw/n\nvlZK/XV3d2vFihVavHixampq9Mtf/lKSPcfv9v5eeuklSfYcv88++0wNDQ2qq6vT4sWL9cMf/lBS\nyMfPBOD69etm/vz5prOz01y7ds3U1taas2fPBrGrQDzwwAOmr6/vlsuef/55s3v3bmOMMbt27TLb\nt283xhhz5swZk8lkzH//+19z/vx5M3/+fHPjxg1jjDH19fWmvb3dGGPM2rVrzeHDh4vYxahjx46Z\nU6dOmZqamtxlfvbz61//2nz3u981xhhz8OBB8/jjjxetN2Pc+3vhhRfMz3/+8zHX/cc//lFS/V24\ncMGcOnXKGGPMxx9/bCoqKszZs2etOX7j9WfL8TPGmKtXrxpjjBkcHDQNDQ3m3XffDfX4BTL0//a3\nv5k1a9bktnfu3Gl27doVxK4CkU6nzUcffXTLZZWVlSabzRpjhk7UyspKY8zY3tasWWPee+89c+HC\nBVNVVZW7/MCBA+Y73/lOEap319nZectQ9LOf1atXm/fee88YM3Ri33fffYH3c7vb+3vhhRfMz372\nszHXK9X+RrS0tJi3337buuM3oqWlxfzlL3+x8vhdvXrVLFu2zJw5cybU4xdIvFPqL9xKJBJauXKl\nli1bpt/85jeSpN7eXiWTSUlSKpXSxYsXJY3tdc6cOerp6VFPT4/mzp2buzxq98HFixd96+fm20yZ\nMkXTpk1TX19fsVoZ1969e5XJZLR58+bcf59Lub/Ozk51dHTo4Ycf9vV8jFp/DQ0Nkuw5fjdu3FBd\nXZ1SqZQaGxu1aNGiUI8ff2XTxfHjx3Xy5En9+c9/1q9+9SsdO3ZszBsjRP2NEvLlZz8mAs8NePbZ\nZ3Xu3Dl1dHQolUrpBz/4gW9rh9HfwMCA1q1bpz179qi8vDzQ8zEK/dl0/MrKynTq1Cl1d3fr2LFj\nchwn1OMXyNDP54VbUTR79mxJ0syZM/Xoo4+qvb1dyWRSvb29kqRsNqtZs2ZJGur1gw8+yN12pNfx\nLo8KP/u5+WvXr1/XlStXNGPGjGK14mrmzJm5b6QtW7aovb1dUmn2Nzg4qHXr1unpp59WS0uLJLuO\nn1t/Nh2/EVOnTtXXv/51nThxItTjF8jQX7Zsmd5//311dXXp2rVrOnjwoJqbm4PYle8++eQTDQwM\nSJKuXr2qo0ePqqamRs3Nzdq3b58kaf/+/bmTs7m5WQcPHtS1a9d0/vx5vf/++6qvr1cqldI999yj\n9vZ2GWP0+9//PnebMJihx29y237209zcrP37h14Z+ac//UkrVqwobnMa2182m819/vrrr6u6ulpS\nafa3ceNGLVq0SFu3bs1dZtPxc+vPluP30Ucf5aKp//znP3r77bdVV1cX7vHz9tDE+N566y1TUVFh\nFixYYHbu3BnUbnx37tw5U1tbazKZjKmurs7VfunSJfPVr37VVFRUmJUrV5r+/v7cbXbs2GHmz59v\nHnzwQXPkyJHc5SdOnDDV1dVmwYIF5rnnnit6LyOefPJJM3v2bPOFL3zB3H///ebVV181fX19vvXz\n6aefmscee8wsWLDANDQ0mPPnzxezPdf+nn76aVNTU2Nqa2tNS0tL7kEzY0qrv3fffdeUlZXlzsm6\nujrz1ltv+Xo+RrE/W47f6dOnTV1dnclkMmbJkiXmpz/9qTHG33mSb3+8OAsAYoQHcgEgRhj6ABAj\nDH0AiBGGPgDECEMfAGKEoQ8AMcLQB4AYYegDQIz8Pz38Tf767MhJAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7f5f0c9a7160>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "recent_grads['Employed'].hist(bins=20, range=(0,30000))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x7f5f0c992828>"
      ]
     },
     "execution_count": 16,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAX0AAAEACAYAAABfxaZOAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7f5f0cb36048>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "recent_grads['Full_time'].hist(bins=20, range=(0,25000))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x7f5f0cc60390>"
      ]
     },
     "execution_count": 17,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAXUAAAEACAYAAABMEua6AAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\nttEv5FEAAAAASUVORK5CYII=\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7f5f0cc593c8>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "recent_grads['ShareWomen'].hist(bins=10)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {
    "collapsed": false,
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x7f5f0eebc8d0>"
      ]
     },
     "execution_count": 18,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAXkAAAEACAYAAABWLgY0AAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\nl40RHuhhRgAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7f5f0cc7d518>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "recent_grads['Unemployment_rate'].hist(bins=15 )"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x7f5f0cd24c88>"
      ]
     },
     "execution_count": 19,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAYcAAAEACAYAAABYq7oeAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz\nAAALEgAACxIB0t1+/AAAG+pJREFUeJzt3X1slfX9//FXoWzf/Oa4m/PU1JYKlNKW0gMiYmZcZbWo\nCTJuBRFrhzHOGSMzFvSPbfwhPWim4g3JsqQrboprYgZkgojI2dQpN8NKBoiJUKCdbSct4N2A0vfv\nD0oH5+LmanvOuT4Hn4+EyHXgnPPkFHnbz5tT08zMBADAGfoEHQAAcA/DAQDgwXAAAHgwHAAAHgwH\nAIAHwwEA4HHR4TB//nyFQiGNHj2667bKykrl5+crHA5r+vTpOnr0aNePVVVVKTc3V/n5+XrzzTcT\nUw0ASKiLDoeKigqtX7/+rNvKysq0c+dO1dXVKTc3V1VVVZKkXbt2qba2Vrt379a6dev0wAMPiLdR\nAEDquehwuOGGGzRo0KCzbistLVWfPqfuOmHCBDU0NEiS1qxZo9mzZys9PV05OTnKzc3Vli1bEpAN\nAEikXu8cqqurddttt0mSGhsblZWV1fVjmZmZamxs7O1TAACSrFfD4YknnlC/fv00Z86cePUAAByQ\n3tM71tTUaO3atXr77be7bsvMzNTBgwe7rhsaGpSZmXnO+6elpfX0qQHgWy0pu1zzYd++fTZq1Kiu\n63Xr1llBQYF9/vnnZ/28nTt3WjgctmPHjtnevXtt2LBh1tHRcc7HlGRSu0kW12/9+0+11157zc8v\n65x+/etf9/i+iUKTPzT552IXTf74/GO71y76mcOdd96paDSqQ4cOKTs7W4sXL9aSJUt0/Phx3Xzz\nzZJOLaWXL1+ugoICzZo1SwUFBerXr5+WL1+ecp8h1NfXB53gQZM/NPnnYhdNbrnocHjllVc8t1VU\nVJz35z/22GN67LHHelcFAAgU75COcc899wSd4EGTPzT552IXTW5J6zzDSv4Tp6VJapfUN66P27//\nNP3hD3dp2rRpcX1cAHBBWlpaUhbSfOYQIxqNBp3gQZM/NPnnYhdNbmE4AAA8OFYCgBTCsRIAIDAM\nhxgunjHS5A9N/rnYRZNbGA4AAA92DgCQQtg5AAACw3CI4eIZI03+0OSfi100uYXhAADwYOcAACmE\nnQMAIDAMhxgunjHS5A9N/rnYRZNbGA4AAA92DgCQQtg5AAACw3CI4eIZI03+0OSfi100uYXhAADw\nYOcAACmEnQMAIDAMhxgunjHS5A9N/rnYRZNbGA4AAA92DgCQQtg5AAACw3CI4eIZI03+0OSfi100\nuYXhAADwuOjOYf78+frrX/+qUCikHTt2SJLa2tp0xx13aP/+/crJyVFtba0GDBggSaqqqlJ1dbXS\n09O1bNkylZWVnfuJ2TkAQLc5s3OoqKjQ+vXrz7otEomotLRUe/bs0cSJE1VVVSVJ2rVrl2pra7V7\n926tW7dODzzwQFJ+EQCA+LrocLjhhhs0aNCgs25bvXq1ysvLJUnl5eVatWqVJGnNmjWaPXu20tPT\nlZOTo9zcXG3ZsiUB2Ynj4hkjTf7Q5J+LXTS5pUc7h5aWFoVCIUlSRkaGWlpaJEmNjY3Kysrq+nmZ\nmZlqbGyMQyYAIJnispA+tT+4NJSUlASd4EGTPzT552IXTW5J78mdQqGQmpubFQqF1NTUpCuuuELS\nqc8UDh482PXzGhoalJmZeYFHqpA0tPP7AyWFJZV0Xkc7/9nd686rzk8HT39wueaaa65T8Toajaqm\npkaSlJOTo6QxH/bt22ejRo3quq6srLRIJGJmZpFIxBYuXGhmZjt37rRwOGzHjh2zvXv32rBhw6yj\no+OcjynJpHaTLK7f+vefaq+99pqfX9Y5bdq0qcf3TRSa/KHJPxe7aPLH5x/bvXbRzxzuvPNORaNR\nHTp0SNnZ2Vq8eLEWLVqkmTNnqrq6WkOGDFFtba0kqaCgQLNmzVJBQYH69eun5cuXX1JHTgDwbcHX\nVgKAFOLM+xwAAN8+DIcYpxdBLqHJH5r8c7GLJrcwHAAAHuwcACCFsHMAAASG4RDDxTNGmvyhyT8X\nu2hyC8MBAODBzgEAUgg7BwBAYBgOMVw8Y6TJH5r8c7GLJrcwHAAAHuwcACCFsHMAAASG4RDDxTNG\nmvyhyT8Xu2hyC8MBAODBzgEAUgg7BwBAYBgOMVw8Y6TJH5r8c7GLJrcwHAAAHuwcACCFsHMAAASG\n4RDDxTNGmvyhyT8Xu2hyC8MBAODBzgEAUgg7BwBAYBgOMVw8Y6TJH5r8c7GLJrcwHAAAHuwcACCF\nsHMAAASmV8OhqqpKhYWFGj16tObOnavjx4+rra1NZWVlysvL06RJk3TkyJF4tSaFi2eMNPlDk38u\ndtHklh4Ph/379+v3v/+9PvzwQ+3YsUPt7e1auXKlIpGISktLtWfPHk2cOFFVVVXx7AUAJEGPdw5t\nbW26/vrr9f777+v73/++pk2bpoceekgPPvig/va3vykUCqmpqUklJSX6+OOPvU/MzgEAus35ncOg\nQYP0yCOPKDs7W5mZmRowYIBKS0vV3NysUCgkScrIyFBLS0vcYgEAyZHe0zvu3btXzzzzjPbv368B\nAwZo5syZevnllzs/I/if2OuzVUga2vn9gZLCkko6r6Od/+zudedV51lhSUlJt65P39bT+yfiOrYt\n6B5JevbZZxUOh53piUajqqur08MPP+xMz2mu/X6S+Pil0scvGo2qpqZGkpSTk6OksR7685//bPfe\ne2/X9UsvvWQPPPCAjRw50pqamszM7LPPPrORI0ee8/6STGo3yeL6rX//qfbaa6/19JdlmzZt6vF9\nE4Umf2jyz8UumvzpxR/b3dLjncNHH32ku+66S1u3btV3v/tdVVRU6Nprr9WBAwc0ePBgLVy4UEuX\nLlVbW5sikYjn/uwcAKD7krVz6PGxUnFxse6++25dc8016tu3r8aMGaP77rtPX3zxhWbNmqXq6moN\nGTJEtbW18ewFACRBr97n8Oijj2rnzp3asWOHVqxYoX79+mnw4MF66623tGfPHr355psaOHBgvFqT\n4syzRlfQ5A9N/rnYRZNbeIc0AMCDr60EACnE+fc5AAAuXQyHGC6eMdLkD03+udhFk1sYDgAAD3YO\nAJBC2DkAAALDcIjh4hkjTf7Q5J+LXTS5heEAAPBg5wAAKYSdAwAgMAyHGC6eMdLkD03+udhFk1sY\nDgAAD3YOAJBC2DkAAALDcIjh4hkjTf7Q5J+LXTS5heEAAPBg5wAAKYSdAwAgMAyHGC6eMdLkD03+\nudhFk1sYDgAAD3YOAJBC2DkAAALDcIjh4hkjTf7Q5J+LXTS5heEAAPBg5wAAKYSdAwAgMAyHGC6e\nMdLkD03+udhFk1t6NRyOHDmimTNnKj8/X4WFhdq8ebPa2tpUVlamvLw8TZo0SUeOHIlXKwAgSXq1\nc7jnnnv04x//WBUVFWpvb9dXX32lJUuW6Ac/+IEqKyu1dOlStbW1KRKJeJ+YnQMAdJvzO4ejR4/q\nnXfeUUVFhSQpPT1dAwYM0OrVq1VeXi5JKi8v16pVq+JTCgBImh4Ph3379unyyy9XRUWFxo4dq/vu\nu09ff/21mpubFQqFJEkZGRlqaWmJW2wyuHjGSJM/NPnnYhdNbknv6R3b29u1fft2vfjiixo3bpwW\nLFigSCTSeVz0P7HXZ6uQNLTz+wMlhSWVdF5HO//Z3evOq84PaklJSbeue3v/b8t1XV2dUz3RaFR1\ndXVO9ZzJlR4+ft27Pi3Inmg0qpqaGklSTk6OkqXHO4fm5mZdf/312rt3ryTp3XffVSQS0aeffqpo\nNKpQKKSmpibddNNN2r17t/eJ2TkAQLc5v3MIhULKysrSJ598IknauHGjCgsLdfvtt3dNuRUrVmjK\nlClxCQUAJE+v/irrc889p7lz5yocDuujjz7S448/roULF2rDhg3Ky8vTxo0btWjRoni1JkXsp5Mu\noMkfmvxzsYsmt/R45yBJxcXF2rp1q+f2t956qzcPCwAIGF9bCQBSiPM7BwDApYvhEMPFM0aa/KHJ\nPxe7aHILwwEA4MHOAQBSCDsHAEBgGA4xXDxjpMkfmvxzsYsmtzAcAAAe7BwAIIWwcwAABIbhEMPF\nM0aa/KHJPxe7aHILwwEA4MHOAQBSCDsHAEBgGA4xXDxjpMkfmvxzsYsmtzAcAAAe7BwAIIWwcwAA\nBIbhEMPFM0aa/KHJPxe7aHILwwEA4MHOAQBSCDsHAEBgGA4xXDxjpMkfmvxzsYsmtzAcAAAe7BwA\nIIWwcwAABIbhEMPFM0aa/KHJPxe7aHILwwEA4NHrnUNHR4fGjRunq666SmvWrFFbW5vuuOMO7d+/\nXzk5OaqtrdWAAQO8T8zOAQC6LWV2DsuWLVNBQUHXdSQSUWlpqfbs2aOJEyeqqqqqt08BAEiyXg2H\nhoYGrV27Vvfee2/XbatXr1Z5ebkkqby8XKtWrepdYZK5eMZIkz80+ediF01u6dVwWLBggZ566qnO\nI6JTmpubFQqFJEkZGRlqaWnpXSEAIOnSe3rH119/XaFQSOFw+ILT9czB4VUhaWjn9wdKCksq6bw+\n/Zjdve686mwqKSlJ+euSkhKnek6LRqPO9MT+HnSlx9Xr07e50sPH7/zX0WhUNTU1kqScnBwlS48X\n0o8//rj+9Kc/KT09Xd98842++OILTZ06Vdu2bVM0GlUoFFJTU5Nuuukm7d692/vELKQBoNucX0gv\nWbJEBw4c0N69e/Xqq69q4sSJ+uMf/6jJkyd3TbkVK1ZoypQp8WpNitj/gnEBTf7Q5J+LXTS5Je7v\nc1i0aJE2bNigvLw8bdy4UYsWLYr3UwAAEoyvrQQAKcT5YyUAwKWL4RDDxTNGmvyhyT8Xu2hyC8MB\nAODBzgEAUgg7BwBAYBgOMVw8Y6TJH5r8c7GLJrcwHAAAHuwcACCFsHMAAASG4RDDxTNGmvyhyT8X\nu2hyC8MBAODBzgEAUgg7BwBAYBgOMVw8Y6TJH5r8c7GLJrcwHAAAHuwcACCFsHMAAASG4RDDxTNG\nmvyhyT8Xu2hyC8MBAODBzgEAUgg7BwBAYBgOMVw8Y6TJH5r8c7GLJrcwHAAAHuwcACCFsHMAAASG\n4RDDxTNGmvyhyT8Xu2hyC8MBAODBzgEAUojzO4eGhgZNnDhRhYWFKioq0nPPPSdJamtrU1lZmfLy\n8jRp0iQdOXIkbrEAgOTo8XBIT0/X008/rZ07d+r999/Xiy++qI8//liRSESlpaXas2ePJk6cqKqq\nqnj2JpyLZ4w0+UOTfy520eSWHg+HjIwMhcNhSdJll12m/Px8NTQ0aPXq1SovL5cklZeXa9WqVfEp\nBQAkTVx2DvX19SopKdG//vUvZWVlqa2trevHBg8erNbWVu8Ts3MAgG5zfudw2pdffqkZM2Zo2bJl\nuuyyyzr/0P+f2GsAgPvSe3Pn9vZ2zZgxQ/PmzdOUKVMkSaFQSM3NzQqFQmpqatIVV1xxgUeokDS0\n8/sDJYUllXReRzv/2d1raf78X2j69Ond+aX4MmhQSK2tTaeerfMssqSkJOHXZ557JuP5/Fw/++yz\nCofDzvREo1HV1dXp4YcfdqbntDM/hkH38PHr3vXp24LsiUajqqmpkSTl5OQoaawX5s2bZwsWLDjr\ntsrKSotEImZmFolEbOHChee8ryST2k2yuH7r339q52P39DE2XeDHevVy9dimTZsCed4LockfF5vM\n3OyiyZ9k/TnU453De++9pxtvvFFFRUVKS0tTWlqalixZovHjx2vWrFk6ePCghgwZotraWg0cONBz\n/0TuHI4e/YukRJzJJeesDwDOJ1k7h0vyTXAMBwCXqpRZSF96okEHeJx5/ukKmvxxsUlys4smtzAc\nAAAeHCt1C8dKAILFsRIAIDAMB49o0AEeLp570uSPi02Sm100uYXhAADwYOfQLewcAASLnQMAIDAM\nB49o0AEeLp570uSPi02Sm100uYXhAADwYOfQLf8n6VjcHzUUGqKmpvq4Py6AS0+ydg69+pLd3z7H\nlIih09zM//MCgFs4VvKIBh3g4eK5J03+uNgkudlFk1sYDgAAD3YO3ZKWsMfl/RMA/OB9DgCAwDAc\nPKJBB3i4eO5Jkz8uNkludtHkFoYDAMCDnUO3sHMAECx2DgCAwDAcPKJBB3i4eO5Jkz8uNkludtHk\nFoYDAMCDnUO3sHMAECx2DgCAwDAcPKJBB3i4eO5Jkz8uNkludtHkFr4qK5ySkZGj5ub9CXnsPn3+\nnzo6vo774/Il13EpYufQLewcEu3U74tEvRZ8/JD62Dl8q3xXaWlpCfmWkZGTkOKMjJyE9AJwQ8KG\nwxtvvKGRI0dqxIgRWrp0aaKeJgGiATzn6f+J0Pm+bbrIj5//W6KOaE49bs+aLvytN6K9vH/8uXpm\n7WIXTW5JyHDo6OjQgw8+qPXr12vnzp1auXKlPv7440Q8VQLUBR1wDi42uci916murudNifrsLC0t\nTZMnT4vjrzI+evNaJYqLTcmSkOGwZcsW5ebmasiQIerXr59mz56t1atXJ+KpEuBw0AHn4GKTi9x7\nnQ4f7nlT4j47M335ZVuPuxKlN69VorjYlCwJGQ6NjY3Kysrqur7qqqvU2NiYiKfCRSVmn4Eznf81\nXrx48bfqNe7NZzsXeq0StTtLpFTfywX6V1n795+iU3+DJH6OH9/ay0eoj0dGnNX34r6n9xnx5uIf\nXvUBPe+FXuN7JNX08HFdfI0v7H+f7fTEPTrfa9XcHMxrUV9f3+P79u61uJDkvBYJGQ6ZmZk6cOBA\n13VDQ4MyMzM9P+/o0dcT8fSdevMCrkjQ417IxR73Qk29fexL6XEv9joF0ezix04J/K/QxHz8gvps\nasUKNz9+iZaQ9zmcPHlSeXl52rhxo6688kqNHz9eK1euVH5+fryfCgCQAAn5zKFv37564YUXVFZW\npo6ODs2fP5/BAAApJLB3SAMA3BXIO6QT+Qa5hoYGTZw4UYWFhSoqKtJzzz0nSWpra1NZWZny8vI0\nadIkHTlypOs+VVVVys3NVX5+vt58882u27dv367Ro0drxIgRevjhh7tuP378uGbPnq3c3Fxdf/31\nZ+1XLqSjo0Njx47V7bff7kzTkSNHNHPmTOXn56uwsFCbN28OvKuqqkqFhYUaPXq05s6dq+PHjye9\naf78+QqFQho9enTXbclqWLFihUaMGKG8vDy99NJLF+2qrKxUfn6+wuGwpk+frqNHjya161xNp/32\nt79Vnz591Nra6kTT888/r/z8fBUVFWnRokWBN23dulXjx4/XmDFjNH78eG3bti2pTRdkSXby5Ekb\nNmyY1dfX2/Hjx624uNh2794dt8f/7LPP7MMPPzQzsy+++MJGjBhhu3fvtsrKSlu6dKmZmUUiEVu4\ncKGZme3cudPC4bCdOHHC9u3bZ8OGDbOOjg4zMxs/frxt2bLFzMxuvfVWe+ONN8zMbPny5fbzn//c\nzMxeffVVu+OOO3y1Pf300zZ37lybPHmymZkTTeXl5VZdXW1mZidOnLDDhw8H2lVfX29XX321HTt2\nzMzMZs2aZTU1NUlveuedd+zDDz+0oqKirtuS0dDa2mpDhw61w4cPW1tbW9f3L9S1YcMGO3nypJmZ\nLVy40BYtWpTUrnM1mZkdPHjQJk2aZDk5OXbo0CEzM9u1a1dgTZs2bbKbb77ZTpw4YWZm//nPfwJv\nKikpsfXr15uZ2dq1a62kpCSpH7sLSfpweP/99+2WW27puq6qqrJIJJKw55syZYpt2LDB8vLyrKmp\nycxODZC8vLxzPv8tt9xiH3zwgX322WeWn5/fdfvKlSvt/vvvNzOzSZMm2QcffGBmZu3t7Xb55Zdf\ntOPgwYNWWlpqmzZt6hoOQTcdOXLEhg4d6rk9yK7W1lbLy8uz1tZWO3HihE2ePDmwj199ff1Z/yIn\nsuGHP/yh5+eYmd1///326quvXrDrTH/5y1/srrvuSnrXuZpmzJhhO3bsOGs4BNk0a9Ys27hxo+c1\nC7Jpzpw5Vltba2Zmr7zyis2dOzfpTeeT9GOlZL5Brr6+XnV1dZowYYKam5sVCoUkSRkZGWppaTln\nT2ZmphobG9XY2KirrrrqnJ1n3qdv374aOHDgWZ82n8uCBQv01FNPnfXX8YJu2rdvny6//HJVVFRo\n7Nixuu+++/T1118H2jVo0CA98sgjys7OVmZmpgYMGKDS0tLAXytJamlpSVjDgAED1Nraet7H8qu6\nulq33XZb4F1r1qxRVlaWioqKzro9yKZPPvlEf//73zVhwgTddNNN+uc//xl4UyQS0S9/+UtlZ2er\nsrJSVVVVgTeddsl+VdYvv/xSM2bM0LJly3TZZZd5/o50PP/OtF1kp//6668rFAopHA5f8Ocms0mS\n2tvbtX37dv3iF7/Q9u3b9b3vfU+RSCTQ12rv3r165plntH//fv373//WV199pZdffjnQpvNxoeFM\nTzzxhPr166c5c+bEoeiUnnR98803WrJkiRYvXhy3jjP19LVqb29XW1ubPvjgAz355JOaOXNm4E3z\n58/X888/rwMHDuiZZ57Rz372s8CbTkv6cPD7BrneaG9v14wZMzRv3jxNmTJFkhQKhdTc3CxJampq\n0hVXXNHVc/DgQU/P+W6Pvc/Jkyd19OhRDR48+Lw97733ntasWaOhQ4dqzpw5evvttzVv3jxlZGQE\n1iSd+q+OrKwsjRs3TpI0ffp0bd++PdDXatu2bfrRj36kwYMHq2/fvpo6dar+8Y9/BNp0WjIaevrv\nR01NjdauXatXXnml67aguj799FPV19eruLhYV199tRoaGjR27Fi1tLSc93GS8VplZWVp2rRTX3Dw\n2muvVd++fXXo0KFAmzZv3qyf/vSnkqQZM2Zo69atnsdPdlOXix48xVl7e3vXQvrYsWNWXFxsu3bt\niutzzJs3zxYsWHDWbZWVlV1neOdaJh47dsz27t171uLnuuuus82bN1tHR4fdeuuttm7dOjMze/HF\nF7sWPytXrvS9/DUzi0ajXTuHRx99NPCmG2+80fbs2WNmZr/5zW+ssrIy0Neqrq7ORo0aZd988411\ndHRYeXm5vfDCC4E07du3z0aNGtV1nYyGM5eHp7/f1tZ2wa5169ZZQUGBff7552f9vGR2xTadKScn\nx1pbWwNv+t3vfme/+tWvzMxsz549lp2dHXjT2LFjLRqNmpnZW2+9ZePGjUt60/kkfTiYnfrNPGLE\nCBs+fLhVVVXF9bHfffdd69OnjxUXF1s4HLYxY8bYunXr7NChQ/aTn/zERowYYTfffPNZL86SJUts\n2LBhNnLkyK6/OWBmtm3bNhs1apQNHz7cHnrooa7b//vf/9rMmTNt+PDhdt1119m+fft89505HFxo\nqqurs3HjxllxcbFNnTrVDh8+HHjXk08+aQUFBVZUVGR33323HT9+POlNc+bMsSuvvNK+853vWFZW\nllVXV1tra2tSGv7whz/Y8OHDLTc311asWHHRruHDh1t2draNGTPGxowZ0/UHRLK6ztV0pquvvrpr\nIR1k04kTJ+yuu+6yUaNG2TXXXNP1h3KQTdu2bbPx48dbOBy2CRMm2Pbt25PadCG8CQ4A4HHJLqQB\nAD3HcAAAeDAcAAAeDAcAgAfDAQDgwXAAAHgwHAAAHgwHAIDH/wf0HoJ93AOYjAAAAABJRU5ErkJg\ngg==\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7f5f0cd42dd8>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "recent_grads['Men'].hist(bins=15, range=(100,180000))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {
    "collapsed": false,
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x7f5f0ed7ef28>"
      ]
     },
     "execution_count": 20,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAX0AAAEACAYAAABfxaZOAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\nQIIw9AEgQRj6AJAgDH0ASJD/B8b1s/y2IIs0AAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7f5f0c8e80f0>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "recent_grads['Women'].hist(bins=15, range=(0,32000))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "\n",
    "We use some of these plots to explore and answer the following questions:\n",
    "\n",
    "-- What percent of majors are predominantly male? Predominantly female?\n",
    "\n",
    "We focus in just the x-values above 0.6 (60%) in the histogram from ShareWomen column, we can see how in about 77 majors more than 60 percentage of the students are women, representing the 44.76% of the total majors and the ones who present more men represent the 55.23%. We have calculated these number, taking into account the following frecuencies for each bar higher than 0.6:\n",
    " * bar 0.6-0.7: the frequency is about 25 \n",
    " * bar 0.7-0.8: the frecuency is about 29\n",
    " * bar 0.8-0.9: the frecuency is about 11\n",
    " * bar 0.9-1: the frecuency is about 12\n",
    "\n",
    "-- What's the most common median salary range?\n",
    " \n",
    "These figures show how the most common median salary range is between 30000 and 45000. \n",
    "\n",
    "\n",
    "We have created individual scatter plots to visualize potential relationships between columns and histograms to visualize the distributions of individual columns. A scatter matrix plot combines both scatter plots and histograms into one grid of plots and allows us to explore potential relationships and distributions simultaneously.\n",
    "\n",
    "In the following, we will create different scatter matrix to explore the data.\n",
    "\n",
    "### Visualizing potential relationships and distributions simultaneously using scatter matrix"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([[<matplotlib.axes._subplots.AxesSubplot object at 0x7f5f0a2009b0>,\n",
       "        <matplotlib.axes._subplots.AxesSubplot object at 0x7f5f0a16b6d8>],\n",
       "       [<matplotlib.axes._subplots.AxesSubplot object at 0x7f5f0a135eb8>,\n",
       "        <matplotlib.axes._subplots.AxesSubplot object at 0x7f5f0a0f4828>]],\n",
       "      dtype=object)"
      ]
     },
     "execution_count": 33,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAY4AAAGOCAYAAACABOR8AAAABHNCSVQICAgIfAhkiAAAAAlwSFlz\nAAALEgAACxIB0t1+/AAAIABJREFUeJzs3XtcVHX+P/DXwIgyyAxCXtAMKknFwEuiBI0OgmlmmNnV\ncDfbzLLf1zLt5uY3XTfXVmtr/ZrYbj0yi1Lb1u6ZJCAlJqiJDmWkqQgKXphBLgPMzPn98ZEBFJAZ\nhjkzzOv5eMwDODPnnPeB4bznc1dIkiSBiIionXzkDoCIiDwLEwcREdmFiYOIiOzCxEFERHZh4iAi\nIrso5Q7AFRQKhdwhEBF5pJY63npF4gBavngiuSkUCr43yW219qHbaxJHg3fffR/PPbfU4f19fRXY\nuvUDjBkzxnlBERF5EK9LHD/+mIeysvsAzHZof3//56DX65k4qEvIyQH27wfuvhvo00fuaMhTeF3i\nEHoDGOTQnj4+aueGQiSjI0eAsjLg1CkmDmo/L00cRAQAd94JlJQAERFyR0KehImDyIv17AnccIPc\nUZCn4TgOIiKyCxMHERHZxa0Sxz/+8Q9otVoAwKpVq6DVajFr1ixYLBYAQFpaGuLj45GcnIzKykoA\nQEZGBuLi4pCYmIiSkhLZYici8hZukzjq6upw4MABKBQKnDlzBllZWcjOzkZUVBS2bt0Ks9mM1NRU\nZGdnIyUlBevXrwcALF++HOnp6Vi5ciVWrFgh81UQEXV9bpM43n77bTz00EMAgLy8POh0OgBAUlIS\ncnJyUFhYiOjoaPj4+Ni21dTUQKVSQaVSISYmBnq9Xr4LICLyEm7Rq8psNiMrKwuPP/44JEmC0WiE\nWi3GS2g0GhgMhla3BQYG2o5jtVpbPcfSpUsBALm5uwGYO+1aiNqSmZmJzMxMucMg6hC3SBwbN27E\nzJkzbT9rNBoUFRUBACoqKhAUFASNRgOj0dhsm1qtRkVFhW0/X1/fVs/RkDhKSw3Yuzfc+RdB1A46\nnc5WmgaAZcuWyRcMkYPcoqrq8OHDWLduHW677TYUFBQgLy8PO3fuBACkp6cjNjYWERER0Ov1sFqt\ntm0qlQomkwlVVVXYs2cPIiMjZb4SIqKuzy1KHCtXrrR9P27cOCxZsgR///vfodVqERYWhgULFkCp\nVGLOnDnQarUIDg5GWloaAGDx4sWYOHEi/P39sWHDBrkugYjIaygkL5jTuenU1Y8//hRSU8MBPOXQ\nsQICZmPNmnGYPduxSRKJmuK06uTOWnt/ukVVFREReQ4mDiIisgsTBxER2YWJg4iI7MLEQUREdmHi\nICIiuzBxEBGRXZg4iIjILkwcRERkFyYOIiKyCxMHERHZhYmDiIjswsRBRER2YeIgIiK7MHEQEZFd\nmDiIiMguTBxERGQXJg4iIrILEwcREdmFiYOIiOzCxEFERHZh4iAiIrswcRARkV2YOIiIyC5MHERE\nZBcmDiIisgsTBxER2YWJg4iI7MLEQUREdmHiICIiu7hF4tDr9YiPj8f48eMxb948AMCqVaug1Wox\na9YsWCwWAEBaWhri4+ORnJyMyspKAEBGRgbi4uKQmJiIkpIS2a6BiMhbuEXiGDJkCH744QdkZWWh\ntrYWubm5yMrKQnZ2NqKiorB161aYzWakpqYiOzsbKSkpWL9+PQBg+fLlSE9Px8qVK7FixQqZr4SI\nqOtzi8Th6+tr+766uhp5eXnQ6XQAgKSkJOTk5KCwsBDR0dHw8fGxbaupqYFKpYJKpUJMTAz0er1M\nV0BE5D2UcgfQ4PPPP8fixYsxevRo9OrVy5ZMNBoNDAYDjEYj1Gr1ZdsCAwNtx7Bara0ef+nSpQCA\n3NzdAMyddh1EbcnMzERmZqbcYRB1iNskjjvuuAN33HEH5s+fD5VKhaKiIgBARUUFgoKCoNFoYDQa\nm21Tq9WoqKiwHaNpyeVSDYmjtNSAvXvDO+06iNqi0+lspWkAWLZsmXzBEDnILaqq6urqbN+r1WoY\nDAbs3LkTAJCeno7Y2FhERERAr9fDarXatqlUKphMJlRVVWHPnj2IjIyU6xKIiLyGW5Q4vvnmG7z2\n2msAgPDwcPzlL3/B6dOnodVqERYWhgULFkCpVGLOnDnQarUIDg5GWloaAGDx4sWYOHEi/P39sWHD\nBjkvg4jIKygkSZLkDqKzKRQKNFzm448/hdTUcABPOXSsgIDZWLNmHGbPnu28AMlrNX1vErmb1t6f\nblFVRUREnqNTEkd1dXVnHJaIiNyAUxPHrl27EBkZiSFDhgAADhw4YBsJTkREXYNTE8eCBQuwbds2\nhISEAACGDx9u6x1FRERdg9OrqgYOHNjs57bGVhARkedxanfcgQMHYteuXVAoFKivr8cbb7yBoUOH\nOvMUREQkM6eWOFJTU7F27VoUFxdjwIAB+Omnn7B27VpnnoKInGjbNuDll4GLEzUQtYtTSxw1NTX4\n4IMPmm07ffq0M09BRE5kNAL19UBVldyRkCdxaonj2muvxQMPPICamhrbtilTpjjzFETkRNOnA088\nAVzsCEnULk5NHFFRUdBqtYiPj8eRI0cAgKNiiVxIkoBTp4A2Jopupls3oHfvzo2Juh6nJg6FQoF5\n8+ZhzZo1uOOOO/D5559DoVA48xRE1IacHGD9eiA93fXnrq11/TlJHk5t42goXcTHx+O7777Dvffe\ni19++cWZpyCiNgQFAUol0KuXa8+blQVkZIiqr+HDXXtucj2nJo6vvvrK9n1oaCgyMjKwa9cuZ56C\niNoQGSkermaxNP9KXZtTEsf777+PlJQUfPjhhy0+P27cOGechojcVEICEBMDNFmQk7owpySOqot9\n+S5cuOCMwxGRh1EomDS8iVMSx9y5cwEAL730kjMOR0REbsypvaqeffZZVFRUoL6+HomJiejduzfe\nf/99Z56CiBzEnvHkLE5NHN9++y3UajW++OILhIeH47fffsOqVauceQoickBVFfDqq8Dbb7f9uvx8\n4PBh18REnsupicNsNgMAvvzyS9xzzz3QaDTOPDwROai+HjCZgMrK1l9jMACffAJ89BFw8V+ZqEVO\n7Y47depUDBkyBP7+/li3bh3OnDmDHj16OPMUROSAoCBg/nzAz6/116jVwJgxQI8eYiwIUWucWuJY\nuXIldu3ahby8PHTr1g0qlQqffvqp7fnt27c783REZAe1WiSF1vj4AFOmABMmuC4m8kxOX8gpODjY\ntnhTQEAA+vXrZ3vuueeec/bpiIjIxZyeONrCCQ+JiDyfSxMHJzwkIvJ8Lk0cRNT1FBUBdXVyR0Gu\n5NLEER4e7srTEVEn27dPjA354gu5IyFXcmriqK6uxvLlyzFnzhwAQGFhIb5o8o765JNPnHk6IpJZ\nSAgQEAD07St3JORKTk0cs2fPRvfu3ZGTkwMAGDBgAF588UVnnoKI3EhYGPDMM0B8vNyRkCs5NXEc\nOXIEzz77LLp16wYAUKlU7ElFRNTFODVx+Pn5oaamxtZ76siRI+jevfsV99uzZw/i4+Mxbtw4LFy4\nEACwatUqaLVazJo1C5aLq8OkpaUhPj4eycnJqLw4d0JGRgbi4uKQmJiIkpISZ14OERG1wKmJY9my\nZZg8eTKKiorw4IMPIjExEX//+9+vuF94eDgyMjKwc+dOlJWVYefOncjKykJ2djaioqKwdetWmM1m\npKamIjs7GykpKVi/fj0AYPny5UhPT8fKlSuxYsUKZ14OEbXgu+/EmuasTPBeTk0cEydOxCeffIJ3\n330XDzzwAPLy8qDT6a64X58+feB3cRIdpVKJgoIC235JSUnIyclBYWEhoqOj4ePjY9tWU1MDlUoF\nlUqFmJgY6PV6Z14OEV2iuhrIzga+/x6oqZE7GpKLU6Yy27dvX7OfQ0NDAQAnTpzAiRMnMGrUqHYd\nJz8/H2fPnkVQUBB8fERO02g0MBgMMBqNUKvVl20LbLLsmNVqdcblEFErVCpgxgxR2lCp5I6G5OKU\nxNHQLtEShUKBHTt2XPEY5eXlmD9/PrZs2YLc3FycPHkSAFBRUYGgoCBoNBoYjcZm29RqNSoqKmzH\naJgjqyVLly4FAOTm7gbAOaNJHpmZmcjMzJQ7jA6JipI7ApKbUxJHRkZGh/a3WCxISUnB6tWr0bt3\nb8TExGDdunVYtGgR0tPTERsbi4iICOj1elitVts2lUoFk8mEqqoq6PV6REZGtnqOhsRRWmrA3r3h\nHYqXyFE6na5Z9e2yZcvkC4bIQU6ddd9kMuHNN9/E999/D4VCAa1Wi8cee+yKa3Js2bIFeXl5ePbZ\nZwEAf/vb3zBu3DhotVqEhYVhwYIFUCqVmDNnDrRaLYKDg5GWlgYAWLx4MSZOnAh/f39s2LDBmZdD\nREQtUEhOHGhx7733IjAwECkpKQBE91mDwYAtW7Y46xQOUSgUtvEkjz/+FFJTwwE85dCxAgJmY82a\ncZg9e7bzAiSv1fS9SeRuWnt/OrXEcejQIRQUFNh+TkhIaLP6iIiIPI9Tu+OOGjUKu3fvtv38448/\nYvTo0c48BRERycypJY69e/ciLi4O11xzDQDRHXfw4MGIioqCQqFAfn6+M09HREQycGri+Oabb5x5\nOCIickNOTRxhYWEoLy9HUVERzObGsRLtHQBIRETuz6mJY8mSJXj33Xdx/fXX2yY6bO8AQCLqPHV1\nwH/+A/TqBUyeLHc05Omcmjg2b96MI0eO2OadIiL3YDAAhw8D3bszcVDHOTVxDBs2DAaDAX369HHm\nYYmog/r0AR54AOjZU+5IqCtwauJ44YUXMGLECERFRTVbh+Ozzz5z5mmI6ArMZkB5yX/34MHyxEJd\nj1MTxx//+Ec8//zziIqKss1uS0SutWsX8O23wF13AdHRckdDXZFTE0dAQADmz5/vzEMSkZ1MpuZf\niZzNqYlDq9XihRdeQHJycrOqKnbHJXKdhARg5EjRg4qoMzg1cezfvx8Amk07wu64RK6lUDBpUOdy\nauLo6LocRETk/pyaOADgyy+/hF6vh6lJBev//u//Ovs0REQkE6d2fXrsscewadMmrFmzBpIkYcuW\nLTh+/LgzT0FERDJzauLYtWsX3nvvPfTq1QsvvfQScnJy8OuvvzrzFER0Bb//Drz/PnDqlNyRUFfl\n1MTh7+8PAFCpVCgpKYFSqcQpvnuJXCo/H/jtN6DJmmpETuXUNo6pU6fCYDDg2WefxU033QQAeOSR\nR5x5CiK6ggkTgL59geHDgfJy0csqKKjl1/7wA7B/P3DPPWIfovZwSuLIzc3FwIEDsWTJEgBAZWUl\noqKiMGTIECxYsMAZpyCidgoMBGJjxQDAN98UiWPRIqCluUd//x04exYoLWXioPZzSlXV3LlzbTPi\n7ty5E88//zzmzp0LjUaDRx991BmnICI7KZXAVVcBvXsDvr4tv2b6dGDWLCAqyrFzmM3A3r2A0eh4\nnOR5nFLisFgsCA4OBgBs2rQJjz76KGbMmIEZM2ZgxIgRzjgFEdlJqQTmzm37NQEBwPXXO36OvXuB\nr78GhgwB7r/f8eOQZ3FKicNisdhW/Pvuu+8wYcIE23NNVwIkoq7luuuA8HDgxhvljoRcySkljgce\neADjx4/HVVddBX9/f2i1WgDAb7/9Bo1G44xTEJEb6t0beOghuaMgV3NK4vjzn/+MxMREnDp1Crfe\neqtt2Vir1Yo1a9Y44xREROQmnNYdNzY29rJtN9xwg7MOT0QdVFoK9OgByFUJUFoq1gqJjxcrEpLn\n4mpLRF7g3DkgNRX417/kiyEvDzhwQHwlz+b0SQ6JyP2oVKI94mLnR1nExwPduwOjR8sXAzkHEweR\nF/D3B+bNkzeGoCAgKUneGMg5WFVFRER2cYvEcerUKdx0001QqVSwWq0AgNWrV0Or1WLWrFmwWCwA\ngLS0NMTHxyM5ORmVlZUAxOJRcXFxSExMRElJiWzXQOSujh8HfvlF7iioK3GLxBESEoIdO3bYemad\nOXMGmZmZyM7ORlRUFLZu3Qqz2YzU1FRkZ2cjJSUF69evBwAsX74c6enpWLlyJVasWCHnZRC5FYtF\nTAXy3nvARx8B58/LHZH9ysuBY8fkjoIu5RZtHH5+fra5rgAgLy8POp0OAJCUlIS0tDRERkYiOjoa\nPj4+SEpKwqOPPoqamhqoVCqoVCrExMTg2WeflekKiNzHkSPA998DVVXAmTPAtdeKxnG1Wu7I7Ldx\no0h4jzwCXH213NFQA7dIHJcyGAxQX3yXazQaGAwGGI3GFrcFBgba9muo5iLyZnq9mPVWkoBu3YDE\nRGDAALmjckxEBFBU1Pq08CQPt0wcGo0GxcXFAICKigoEBQVBo9HAeHEKzoZtarUaFRUVtv18W5sC\nFMDSpUsBALm5uwFw/iySR2ZmJjIzMzv1HBMmAP36iRlvlUqRPDzVbbfJHQG1xK0ShyRJAICYmBis\nW7cOixYtQnp6OmJjYxEREQG9Xg+r1WrbplKpYDKZUFVVBb1ej8jIyFaP3ZA4SksN2Ls33AVXQ3Q5\nnU5nq4YFgGXLljn9HD17AmPGNP5sMon2joAAp5+KvJRbJA6z2YzbbrsN+fn5mDRpElasWIFx48ZB\nq9UiLCwMCxYsgFKpxJw5c6DVahEcHIy0tDQAwOLFizFx4kT4+/tjw4YNMl8JkXuRJLGYk8kEzJ8v\nkgpRR7lF4lAqldi+fXuzbTExMXjmmWeabXvwwQfx4IMPNtuWmJiIxMTETo+RyFP5+wNWa+uLORHZ\nyy0SBxF1DoUCeOwxUfIoKwNqa9nQTB3nFuM4iKjzKBRiPMT69fJOckhdB0scRF5ApQL69pV3kkPq\nOpg4iLyAv7+osiJyBlZVERGRXZg4iIjILkwcRF6iqkr0qiLqKCYOIi9gNAKvvw689ZbckVBXwMRB\n5AV8fcWcVd27yx2JfSorgdOn5Y6CLsVeVURdQFmZmIJ82DBg8uTLn+/ZE1i4EPDxsI+KGzYAZ88C\njz4KhIbKHQ018LC3ERG1pKICuHCh+afz/Hzg44+B6mrxs6+vGAzoSUJDxUh3TtDoXljiIOoCBg0C\n5s4FevUCDhwAvvtOVPOYzcDQoaIk4krbtomElZzcsTmy7rrLeTGR87DEQdRFhIYCPXoAxcWiBNLQ\nPqDROO8cVqtYhvajj8T3LbFYgB9/FAmsyXI51IWwxEHk4YxG4N//BgYOBO69F5g4ERg8GNi1Czh6\nVJQ6nKWuDigsFJMm1taKEemX8vUFZs0SU7n36uW8c5P7YOIg8nAmkyhdnD0rfu7WDbj+eiAsTIzd\ncGaJo0cP4OGHxfctJY0G117rvHOS+2HiIPJwffsCTzwhJjJsSql0btJo4Knrl5PzsI2DqAu46iqR\nOE6dAurrW37Njz8Cv/zS8XP9+itw+HDHj9NArxdVauQ5mDiIuogDB8SaG59/fvlzp08DX38N/Oc/\nHTtHTQ3w4Yeicbyhm29HlJcDW7YA77/fcmN7URGwb59oUyH3waoqIg8nScDu3aKk0b27aJDeuRPo\n1w+44Qbxmt69gbFjr9xYbTaLsR6tdaHt0QOIiRHnbKuNo73UamDECDFOo6XBiVu2iJ5ZwcFAeHjH\nz0fOwcRB5EH27QN++AGYMEGMBg8LA44fF+MmevYEXnhBVPusXy+qr555RjSa19UBt93W+nGzs4GS\nEuDYMVHl9cQTLd/IFQpgyhTnXY+vL3Dnna0/f/PNonsxR427FyYOIg9y7Bhw7hzw7rviU3pKCtC/\nP3DTTY0317w8MQDwtttE9c+//iUSx5NPtr7e+A8/iJHnkgT4+bnqaq7s5pvljoBawsRB5EGmTAFu\nvBH47TdRsti8Wdzo/+d/GicwrKgAAgNFtZSPD3DddaK77qW9rpq6/37R3jB0qNino3Na6fWiPWT0\n6I4dpz0uXADOnxelL3INhSR1/WYnhUKBhst8/PGnkJoaDuAph44VEDAbvr5foaKizOF4+vYNw+nT\nxxzen7qOpu9Ne5nNwD//KUoV/+//ifaH8+dFgjh2DIiIuLytQpJEj6j+/UX7QlNWK/DJJ2L/jlRH\nWSzAX/8qSjm9e4sb+vTpjh/vSt56S1SzzZolxq+Q87T2/mSJwwEiaTieb0tLPWymOXI7ubnAiRPA\nnDliAOAbb4jtNTXAyJHAtGni+/PnxbgLkwl46SWROFQqMUDvj39sfsySEmDFCjGAMDHR8SnYfX3F\n/iUlQEGBc0eut+Taa0XHgODgzj0PNWLiIPJAu3aJqqXhw0XJobZWNFxbLI29nf7yF+DQIWDZMlGd\n9c03ohorMRG49dbLj6lUiv3N5o53f73lFvH15Mm2q8icYeJE8SDXYeIg8kB33SUG+zV8yn7ySTHm\n4eOPxc0/LU30lPLzE68LCBBtASaT6Nba0PZgtYppSQIDRffdsWPF9nPnWh8hvm+faDPR64FrrgFu\nv731OK++uv3XdPy46AnGKdTdHxMHkYcxmcSEhn37AqtXi9LB00+LEoNCIZLB+fOiNHL//aKkUVQk\nEoS/v6je8vMDvvhCJJq+fYFHHhFtIvffL17Xv3/L566uBj74QCShq65qvRrKYBDVR717t++afvtN\nDAIcOBD4058c+72Q6zBxEHmQ9HTRdfaee4AhQ8RN32QS4zYiIoBFi0TV0Icfik/uCoVoDC8rE1Va\nffqIfQAxmryuTjyUSlGNlZEh2jimTGl5EKBCARw8KL5ftKjxWE1ZrUBqqkgcTz0lSjNX0quXKD1d\nc03z7Vu3iqT30EPtOw65BhMHkQexWEQJw2oVN/GrrgJ+/llMJxIUJKqNfv5ZJICzZ8UUI7/+KpKL\nJDW2XVitIvkMHy4efn6iFFFYKEolra0UaLWKBCRJolTSs+flr1EoRFK6cKEx+VitbXfxDQkB5s+/\nfPvJk6La7MIFJg53wsQhi+5QdGANT3bn9V633grExYkBfl99JRrIJUnceG+8UbzmvfdEAjh3Tsxf\ndd114sb9+++iVHHvvaKKKTEROHNGJKPYWHHDVyrFozUBAcDLL4tz+viI41z6eqtVJLRevUSp48QJ\nsXb4qFFtt4e0ZOpU0TurtaozkkeXmOTw6aefxrhx47BgwQK5Q2mnWojuvI49SkuPyxAzyc1oFF+r\nq4GcHNFAnZwMTJokPtkbDOL5SZPEKHJJEq+9+mqx0NO4cSKJZGWJXllKpTjGnj0ioVRViYb0oiKR\nTI4eBV5/Hfjpp+ZxDBokSjevvSYSwqV8fYGkJCA+XkzrXlsrjnelSRF//lkkt6Y+/RT49lsREyBK\nIBcu2P+7I+fy+BLH/v37UVVVhZ07d2LevHnYu3cvbrrpJrnDIuqQykpRfdQw/cf+/eImGhcnbqJK\nJTB+vFjpb+9eccNtuKEaDGL7qFHAZ5+JEsDx40B+viglNAzKe/hh0dC9fbsoGaSkiEbq7t2BjRuB\n778XCaKoSExEePKkONc//iHaI3r1anmsh8UC/PnPonps+HDR9pKSIhq+ARFnSYmYgLGh4H3+PLBp\nk4g1MVHsFxQkBvQdPSrOV1QEvP22aKeZN6/z/wbepLoa+PJL8cGiPbdPjy9x7N69GxMvduJOSkpC\nTk6OzBG5gqjqcvTRr1+43BdALTh/XtyYz5wRn/Tfeku0U8yfL/6pFQpxox4zBoiOFjfz1FQgM1MM\n+msYy3DzzWIG2zlzRCnDZBLjOSoqRFJRKMRN/5NPRPWWv7/YnpsrksORI+IGfeSIuHlHRYnjfvyx\nSCiHD4sG8uDgltst6upEFVlBgUgQhw+LHlOffiqeX7lSNJpnZTXuo9GIZBEQINpnMjLE9pMnRWyV\nleLai4rEwMam/vtf4G9/E7+31nz7LfD3v4sSVQOLRZS2GrYdOyZ6mlVWtvcv1nUUFYnu1bt3t+/1\nHl/iMBgMuP7iPAMajQYFBQUyR+QKDVVdjuHIdff05ZfiZj1hgujZ5O8vxkzk54veS++/L7YD4mZu\ntYoqKYtFDPJraGvo27exLWH6dFFCOHpUfJKsrBSP8+dF1VDPnsDixaLEceaMSAQKhSjp+PuLc+zd\nK8Z+jB0remzV14s2jLFjW57iw89PlCZMJlE6MJtF3A1TnPj6ikfTpOPrK2ItKwN27BClJUAkFKNR\nJI3z50Wp5dLeXkajSFaXJpSmzpwRn6orKhong/z5Z9FOFBoKzJ0rxr0cOSKuLTbWrj+dx4uIED3p\n2ru6o8cnDo1Gg4qKCgBARUUFglqZ/nPp0qUAgNzc3QA6eQ6ELq5fv/AOtbP4+KhgtTq+CpAndw7I\nzMxEZmZmi88NHy6+3nijaB/w8RFJ4fRpYNiwxqTRwMcHmD277fONHi0mQDQaxQ0/MFAkjmuvFY3n\nDSPPAXGzX7JEJIxBg0QCunBBlGYAUZKJjRVdZiUJmDy55d5Xvr7Aq6+KG3W/fuI1ixc3vva554DS\nUlEtcqk+fcRYkgYPPCDOpVCIJJKcLF7T1MyZ4pramnLk7rtFR4J+/Rq3hYeLSR0HDxY/T5ggrrnh\n7+BNfHxESba9PH6Sw/379+Ott97CunXr8MQTT2D27NkYfcmUnM6e5LCq6l105BM/oJB5/x4QpZaO\nkPf6Pfxta9ORSQ6JOltr70+Pb+MYOXIkunfvjnHjxkGpVF6WNKglHevV5c369Qtn+xJ5PY+vqgKA\n119/vd2v7dVLg+7dX4af35sOnctkOu3QftQ1iCo6ti+Rd/P4qqr26MhgOyIib9Ylq6raS5Ik2+Ol\nl15q9rO7PBiXZ8fkSFwA3O5aGI9nxdOZMbXGaxJHUxcuiC6GbfxeiIioFV6ZOH7+Gfj8czFKloiI\n7NMlGsftlZysQ3CwfYvMuIJOp5M7hBa5Y1zuGBPgWFzudi2Mp23uFg/g+pi8pnHcCy6TPBDfm+TO\nuuw4DiIici0mDiIisgsTBxER2YWJg4iI7MLEQdSFcC4tcgX2qiKSkbPfm2J6Hc48TM7BXlVEROQU\nTBxERGQXJg4iIrILEwcREdmFiYOIiOzCxEFERHbp1MRx6tQp3HTTTVCpVLBarQCA1atXQ6vVYtas\nWbBYLACAtLQ0xMfHIzk5GZWVlQCAjIwMxMXFITExESUlJQAAvV4PrVYLrVaLQ4cO2c6RmJiIW265\nBTt27Oh0QpfHAAAgAElEQVTMyyEiIgCQOlFtba1kMBikhIQEyWKxSGVlZdLtt98uSZIkvfLKK9LH\nH38s1dfXS1qtVrJYLNKmTZuk1atXS5IkSQkJCVJVVZW0Z88e6YknnpAkSZKmT58uFRcXS8XFxdK0\nadMkSZKk+fPnSzk5OVJVVZWk0+lajKOTL5PIYc5+bwKQxBJljj74v0KNWns/dGqJw8/PDxqNxvZz\nXl6ebd74pKQk5OTkoLCwENHR0fDx8bFtq6mpgUqlgkqlQkxMDAoKCgAA5eXl6N+/P/r37w+j0QgA\nOHjwIGJjY6FSqaBWq20lFiIi6hwubeMwGAxQq9UAAI1GA4PBAKPR2OK2wMBA234NVVoN1V1A4wLq\nDc8BgFqthsFg6PTrICLyZi5dAVCj0aC4uBgAUFFRgaCgIGg0GlvpoWGbWq1GRUWFbT9fX18ADdMp\nCD4+Ps2+Nt2/JUuXLrV9r9Pp3HIVL+r6MjMzkZmZKXcYRB3iksTRUDqIiYnBunXrsGjRIqSnpyM2\nNhYRERHQ6/WwWq22bSqVCiaTCVVVVdDr9YiMjAQAhISEoLi4GAqFwlZKGT58OHbv3o2oqChcuHAB\nPXv2bDGGpomDSC6XfmhZtmyZfMEQOahTE4fZbMZtt92G/Px8TJo0CStWrMC4ceOg1WoRFhaGBQsW\nQKlUYs6cOdBqtQgODkZaWhoAYPHixZg4cSL8/f2xYcMGAOLmf99990GhUGDt2rUAgGeeeQZ/+MMf\nYDKZ+E9IROQCnB2XSEacHZfcGWfHJSIip2DiICIiuzBxEBGRXZg4iIjILkwcRERkFyYOIiKyCxMH\nERHZhYmDiIjswsRBRER2YeIgIiK7MHEQEZFdmDiIiMguTBxERGQXJg4iIrILEwcREdmFiYOIiOzC\nxEFERHZh4iAiIrswcRARkV2YOIiIyC5MHEREZBcmDiIisgsTBxER2YWJg4iI7MLEQUREdmHiICIi\nuzBxEBGRXZg4iIjILi5PHHV1dbjzzjuRkJCA6dOno66uDqtWrYJWq8WsWbNgsVgAAGlpaYiPj0dy\ncjIqKysBABkZGYiLi0NiYiJKSkoAAHq9HlqtFlqtFocOHXL15RAReR2XJ45vvvkGo0ePRkZGBsaM\nGYOPPvoIWVlZyM7ORlRUFLZu3Qqz2YzU1FRkZ2cjJSUF69evBwAsX74c6enpWLlyJVasWAEAWLJk\nCTZt2oTNmzfjxRdfdPXlEBF5HZcnjpCQEBiNRgBAeXk5Tpw4AZ1OBwBISkpCTk4OCgsLER0dDR8f\nH9u2mpoaqFQqqFQqxMTEoKCgwHaM/v37IzQ01HZcIiLqPC5PHHFxcdi7dy+ioqKwd+9eDBo0CGq1\nGgCg0WhgMBhgNBpb3BYYGGg7TkOVltVqtW2TJMmFV0JE5J2Urj7hxo0bcfvtt2PhwoV47bXXUFdX\nh4qKCgBARUUFgoKCoNFobKWHhm1qtdr2OgDw9fUFACgUCtu2pt9faunSpbbvdTqdrZRD5EqZmZnI\nzMyUOwyiDnF54jAajQgODgYgqq2OHTuG3NxcLFq0COnp6YiNjUVERAT0ej2sVqttm0qlgslkQlVV\nFfR6PSIjI23HKC4uhkKhgEajafW8TRMHkVwu/dCybNky+YIhcpBCcnH9Tnl5Oe677z7U19fDz88P\nmzZtwltvvYXPP/8cYWFhePfdd6FUKvHBBx/gzTffRHBwMNLS0hAYGIjvvvsOS5Ysgb+/PzZs2ICr\nr74aBw8exOOPPw6FQoG1a9ciOjr68otUKFiNRW7J2e9NUeruyPH4v0KNWnt/ujxxyIGJg9wVEwe5\ns9benxwASEREdmHiICIiuzBxEBGRXbwucVitgNksdxRERJ7L6xLH228Dr74KXLggdyRERJ7J6xJH\nba0ocVwceE5ERHbyuu64dXVAfT0QECBzUERgd1xyb629P9s1cvzMmTP417/+hWPHjsHcpIHgnXfe\ncV6ELnL8OODrC1x3ndyREBF5pnYljmnTpkGr1SIpKck2R5QnqqwE0tIAhQJ4/nnAz0/uiIiIPE+7\nEkd1dTVeeeWVzo6l06lUwPDhgFIJdOsmdzRERJ6pXY3jU6dOxVdffdXZsXQ6Hx/gzjuBqVNFqYOI\niOzXrsbxwMBAVFVVoXv37ujWrRskSYJCoWg2zbk741xV5K7YOE7ujJMcdv3LJA/ExEHurEO9qgAx\nHXphYSFMJpNt27hx45wTnQvl5QFffw1Mnw7ceKPc0RAReZ52JY5///vfeOONN3Dy5EmMGDECu3fv\nxs0334wdO3Z0dnxOZzCIwX9cnpyIyDHtahx/4403kJubi7CwMGRkZGD//v0ICgrq7Ng6xYQJwGOP\nAXFxckdCROSZ2lXi6NGjB3r06AEAqK2txZAhQ3D48OFODayz+PgA/frJHQURkedqV+K4+uqrYTAY\ncOedd2LixIno1asXwsLCOjs2IiJyQ3b3qsrKyoLRaMTkyZPh5yFDr9mritwVe1WRO3OoO25FRQXU\najXOnz/f4vPBwcHOi7ATMXGQu2LiIHfmUOKYOnUqvvjiC1x77bWXHUChUODo0aOdE62TMXGQu2Li\nIHfGAYBd/zLJA7lf4ugBoNbhvfv2DcPp08c6cH5yJw4ljn379rV50FGjRnU8MhdoevF6PfDll8CU\nKW0PADQagXffBcLDgWnTXBImeSH3SxwssVAjh0aOL1y4EABgMpmQl5eH4cOHQ5Ik5OfnY/To0cjJ\nyemcaDtRaSlQXS2+tpU4LlwAyss59ToR0aXaTBwZGRkAgLvuugv79u1DVFQUAODQoUNYunRppwfX\nGXQ64Prrgauvbvt1V18NzJ0LBAa6JCwiIo/RrjaOYcOGQa/XX3Gbu2IbB7krVlWRO+vQJIfR0dF4\n5JFHkJKSAgD44IMPEB0d7dwIiYjII7SrxGEymbBu3Trs3LkTgJgV9/HHH7dNQ+LummbNoiLgxAmx\n/eqrAQ6AJzmxxEHurMPdcWtqanDixAkMHjzY6cF1tqYXv3Yt8MsvgCQBERHAk0/KHBx5NSYOcmet\nvT/bNTvuZ599hhEjRmDy5MkAgJ9++gnJyckOB7Nx40YkJSVhwoQJOHXqFFavXg2tVotZs2bBYrEA\nANLS0hAfH4/k5GRUVlYCEI31cXFxSExMRElJCQBAr9dDq9VCq9Xi0KFDVzx3fDxwyy2NDyIispPU\nDqNGjZIMBoM0YsQI27Ybb7yxPbtepri4WPrTn/5k+7msrEy6/fbbJUmSpFdeeUX6+OOPpfr6ekmr\n1UoWi0XatGmTtHr1akmSJCkhIUGqqqqS9uzZIz3xxBOSJEnS9OnTpeLiYqmkpESaNm1ai+ds52US\nuZyz35sAJFGedvTR8f2p62jt79muEke3bt2g0WiabRNFYvtt27YNFosFSUlJmD9/PnJzc6HT6QAA\nSUlJyMnJQWFhIaKjo+Hj42PbVlNTA5VKBZVKhZiYGBQUFAAQKxP2798foaGhMLZjdaayMuD//g9I\nTwfeegv47DPgwAHgn/8Ejh1rfT+zGXjvPSAt7eK/RwvKy4E33wS++87OXwqAqipg/XoxOJGIyJ21\nq1fVsGHDkJaWBovFgsLCQvzzn/9EnIMrIZWWlqK+vh7p6el44YUXYDQaoVarAQAajQYGg6HVbYFN\nBlU0VGlZrVbbNqmNutWGcSdlZUB1tQ5Wqw7nzwMXa8Fw/jxQXCxGirektlYkFh8fkUS6dbv8NefO\nieMrlUBiYvt+Hw0MBuDUKaDJyrzUBWVmZiIzM1PuMIg6pF2JY82aNXj55ZfRvXt3PPDAA5g0aRKW\nLFni0Ak1Gg3Gjx8PAEhISEBeXp5tevaKigoEBQVBo9HYSg8N29RqNSoqKmzH8fX1BdC85NNWKagh\ncUgScOQIEBoqbvSBgYBKBQwZIgYGtiYgAJgzRySOlpIGAAwaBPzhD8BVV13x13CZAQOA2bOBi/mS\nuiidTmcrYQPAsmXL5AuGyEHtShwqlQovv/wyXn755Q6fMC4uDv/+978BiEb2a665Bps2bcKiRYuQ\nnp6O2NhYREREQK/Xw2q12rapVCqYTCZUVVVBr9cjMjISABASEoLi4mIoFIrLqtNaolAAwcFAXR1w\nzTWN22+44cqxh4Ze+TXXXXfl17SGXYOJyBO0mTiu1HPqs88+s/uEw4cPR48ePZCQkIDevXsjLS0N\nJSUl0Gq1CAsLw4IFC6BUKjFnzhxotVoEBwcjLS0NALB48WJMnDgR/v7+2LBhAwBRkrjvvvugUCiw\ndu3aK57fZALWrRMJZOFCoHt3uy+BiMirtTmOo3fv3hg4cCAeeOABjB079rI2hIYqJ3fXtC+yxQK8\n8w7w66/A9OlAQ1ONJIlG8r5921eyIHIGjuMgd+bQOI7Tp09jxYoVOHToEJ588kls374dV111FcaP\nH+8xSeNSvr7AjBmizeLbb0VDNyDaPbZuBT7+WN74iIjcXZuJw9fXF5MnT8aGDRuwe/duDBo0CDqd\nDv/3f//nqvg6RXAwMGmSWGdDebGybsAA0UA+enTr+0kSkJkJeOBs8kRETnPFKUdqa2vx5Zdf4sMP\nP8SxY8eQnJyMhx9+GAMGDHBVjB3mrOoAgwF4/XXx/Z//3HrvKqL2YlUVuTOH5qr6wx/+gEOHDmHK\nlCm4//77cWNbKx+5MWf+c/74o1jcaeRIpxyOvBwTB7kzhxKHj48PAgICbAdoIEkSFApFs3EV7uzS\ni7daxXgMIrkxcZA7c2g9jqajsruKr74S1U233gosWiR3NEREnsfrPneXlwP19WLUuKeoqRHtK0RE\n7qDd63F4skvHcfz+u1jEyUPWocLatSLRzZvn2HQm5L5YVUXurEPrcXQlCoUYPW4yiWlHDhwQn+jd\nmUYD+PuLRnkiIrl5XYnjwAHgv/8Vs+AOHAhkZwMxMcDtt8sbI3knljjInbHEcdHAgeIRGSlms+3f\nXywhe6lTp8TI8qoq18dIROTOvK7E0V4ffggcPgwkJXGJWeo8LHGQO3OoO25X9OmnojuuyQQ89RQw\ndCiwZ4+YTiQqCoiNFa+Ljwd+/hkoKrryuI/cXDFp4rRpQM+errkOIiK5eFXiMJuBHTuA/HyRDLZv\nFw3jBw6IhvK6usbE0a+fmMfq119FdVWTxQcvs3cvcPq0SDJDh7rmWoiI5OJ1VVVHj4rG8epq4P77\ngZAQsU2hEF10+/Zt3O/oUZFsrrTIU1mZWHZ2+HCOSCf7sKqK3JlDU450Fc7+56SOMRrFErltrPTr\nNZg4yJ2xVxW5hf37gX/8A0hPlzsSInKUV7VxdCUnT4plb3v3li+GI0fE+dXq9u/TrZsoaXAw4+Wq\nqqrw8MP/g/Jyz5g8lLwXq6o8kMEAvPGGuAm/8II8VT6FhcAHH4hxMI8+at++9fVcy6RB0/dmQUEB\nRo++FTU1rzt4tMMAXgSrqshZ2B23iUOHRE8pk0kMBGz41H72LKDXA2PGiCk+3JVKBVxzjej6K1c7\nQe/eoufZoEH278uk0TqlUg3gbgf35tKU5Bpelzjq6oD//Ac4cQLo00f0hpo5Uzz33Xdi7Iavr3sP\n+vPzA2bPljeGoCDgscfkjYGI5OFVjeOSJMZxnDwpEkafPsDYsWIA4HPPiZJIXV3rYzGsVuDrr8Ux\nGhw+DGzeLHoKdVW5uaILc22t3JEQkTvwqsRRWQns3i1u/D//LG72118PbNvWuN3PT5Q4WlJRIZaO\nzc4W9fSASDoFBSKBdFXZ2WKQZEmJ3JEQkTvwqqqqwEAxLciePUBpqRgACAAPPQQMGNA4ADAoqOX9\ng4KAu+4SyaWhnn7SJNFQPGKESy5BFjNmiN9XeLjckRCRO/CqxAGImXBjY0WjckPD7sCBwMMPt2//\n6OjmP/fpIx5dWViYeBARAV6YOHr2FN1HfX3FXFRERGQfr2rjAES7hkIhVtU7dkw0mBMRUft53Wfu\nf/9bNJJfe62YxHDKFDFug4iI2ke2Esc//vEPaLVaAMCqVaug1Woxa9YsWCwWAEBaWhri4+ORnJyM\nyspKAEBGRgbi4uKQmJiIkotdfPR6PbRaLbRaLQ4dOnTF8/r4AD/9BHz5peglJeeUHUREnkiWxFFX\nV4cDBw5AoVDgzJkzyMrKQnZ2NqKiorB161aYzWakpqYiOzsbKSkpWL9+PQBg+fLlSE9Px8qVK7Fi\nxQoAwJIlS7Bp0yZs3rwZL774YpvnNZmA48eB338Hzp0Dpk8XJQ8iImo/WRLH22+/jYceeggAkJeX\nB51OBwBISkpCTk4OCgsLER0dDR8fH9u2mpoaqFQqqFQqxMTEoKCgAABQXl6O/v37IzQ0FMYrjMLr\n3l2MRfjtN7HoUno68OabYpnYjRvFzK3bton5n+bOBdavF+M1zp8Htm4VgwapfbKyxPgP8jbdoVAo\nHH706xcu9wVQO7i8jcNsNiMrKwuPP/44JEmC0WiE+uL0qhqNBgaDodVtgU2W4Wuo0rJarbZtbU2u\ntnTpUtTXi5HfVVU6HD2qw+bNQGioGMNhMgGnToneVunpwJkzomSSmCimJ/npJ8BiEWMaqG2VlUBG\nhvh+9Gj3nvfL1TIzM5GZmSl3GJ2oFh2ZJLG0lIu0eAKXJ46NGzdiZsPkUBCJoaioCABQUVGBoKAg\naDQaW+mhYZtarUZFReN0074Xh3crmszyp2hjxr+lS5cCEElizRqxqt/EiaKNIzBQJIUbbgB69RLj\nO/btA4YNE1VZhYXAhQvAqFFO+zV0aT17AnfcIdqTmDSa0+l0thI2ACxbtky+YIgc5PLEcfjwYRw4\ncADr1q1DQUEB8vLysGfPHjzzzDNIT09HbGwsIiIioNfrYbVabdtUKhVMJhOqqqqg1+sRGRkJAAgJ\nCUFxcTEUCgU0Gs0Vzz9vnpif6tdfgalTm68lLkmiq+60aeLR4Ngx8bomhRu30hC3O7npJvte747X\n0Bm85Tqpi5NkpNVqJUmSpFdeeUW65ZZbpAcffFCqr6+XJEmS3n//fSkuLk6aOnWqVFFRIUmSJKWn\np0s333yzNGHCBKmoqEiSJEnKz8+X4uPjpVtuuUU6cOBAi+e59DJTUyVpxgxJeuopSTpxQpLMZkn6\n7TdJ+stfJGn79sv3P3dOkn75xVlX7Vw7dkjSsmWS9OuvckfiuL17JWnpUvG1K0tPF++x335r3Nb0\nvanX66XAwKGSSC+OPHZJADqwv+QW+5P7aO3v4XULOZlMou0iLU2syeHrK+aZ8vMD3noLuPNO4Ikn\nZA7YDp9/DuzdK3qIDR8udzSO2blTTDA5YQIwbpzc0XSeTz8VHTDuvhu48Uax7dKFnGJj78aFCwUO\nniEHQBzkXsiJC0F1HVzI6aL33hON4A8/LKYJf/99kTx69gRGjmz8h/YUU6YAcXFASIjckThOqxUL\nannyNbTH1KlinZeufp3U9Xld4rBYRPvGwYPi0/rvvwMJCcD48eLmdc014nW//CKmJQkNlTfeK/H1\n9fwbkUIBXHWV3FF0vq7wtyICvDBxHDgg1s947TXx1WIRU48kJooZYI8eFSsBHjki/smfeUbuiImI\n3IvXJY4BA8SsuJWVYqU/s1l0vV2zRgwOzM0VVVjduwPz51++f16eGBR4882tn6O6Wgx+GzZMrPHR\nwGwWA+MGDhRdf9vDbAYyM0VSi4iw61JbdeyYKHWNHy+uszOUl4vFscaM4adsoq7GqxJHTY24EZtM\nYpbcgQNFo/jXX4sbenW1SChWq6i2unTa9dpa4IsvxPfDhgEXxyhe5uBBICcHKCsDZs1q3H70qEgo\nvXq1P3EcOQJ8/71YsdBZiSM9XSyf26dP5y1A9eOP4mE2izEdRNR1eFXi8PcX4zFiY0XHv0mTAL1e\nrG7Xq5do0wgOFr2TAgPFJ/KaGrHe9sCBohH3tttEiaO1pAGIBvZz5y5vaL/2WtGQPXCgeP6LL8SN\nu6E3lNkspjbp2ROYPFlsu+46Ubpx5kJKCQmixDFkiPOOeamYGHE9Y8d23jmISB5elTjMZtEFt7xc\n3LzLyhpHjl+4APTvL9o6nn66cZ+Gap2yMpE42nMjDAgQvZ0u1a0bcOut4vu9e0XDvI9PY+KoqAAO\nHRKNqLfeKp7r1k0kuJZUVwPffCNKIlFR7f89XH+9eHSmkBDRi4iIuh6vShxKJTBzJrB2ragC+uYb\nkUgGDRJriY8ZIxLF7beLOakeflissz1jRuu9fgoKRP/8bt1E76CHHxallysZMUK8vmF23uPHgY8+\nErFotSJpXMnvvwP5+aLEZE/iICLqCK9KHID4dP7CC6IE8cc/itIHIHpb+fkBu3aJCQ5PnhTbLRbR\ntlFcLMZ/XDpf1fnzos3k2DFRYqmubl/i8PVtfqyzZwGDQSSO9lZLDRki5tsKCxOlqerq1qvQysuB\noCBOd0FEHed1iQMA+vYVU6knJYlRy9XVQL9+wOnT4mY8YQIwe7Z47ZtvAh9/LEorWq0ogQQHNx4r\nPl588q+rE88PGOBYTL/8ItpO7Gms9vUV5wfEwMbffwf+9KfmPbkAYM8e4KuvxKjsCRMci8/ZSkrE\n77FHD7kjIffSvc3JSq+kb98wnD59zHnhUIu8MnEA4oYVEiLaOmpqgP/5H9HLKCtLjO49flwkgdBQ\n0VgdEyPaN8rKRBJp+GSvUIhjHD3ascGCPXqIEoFK5fj+SuXlPcEanmv6VW6//iqmfLn++ua9zog4\nLbtn8Lq5qhpIUuNst1araKP44Qdg+3bRu8poFNVaDz4oqoGUStEldtMmMbr84Yebn6Ohm+/PP4v2\nBkdu0g3ncYQkiWq11vbvyLGdrbRULJwVHd3YWcBbca4q5+/vBbc0l+FcVU3U1wObN4sqqsGDRSmi\nrk50e+3dW7QZpKeLKi1A3HDz80V7Rr9+oh0CEG0S+/eLxYoCA8VEffv2iR5ajlQJdeTGrlC0vb+7\nJA1A/F4XLZI7CiJylBvdTlzn55+Bd94RCSM2Fjh8WDSMjxolZsb95htRbWQyidfX1gKffCK+X7iw\ncQ2P7GzRrbauTnSZHTZMNEIPHizPdRERuYLXJY6aGjGy+8YbRTtFr16iBBIeLpJATY2YJbeqSmz7\n8EPRvqHTiaqgnj0bj3XTTSJpjBwpfnbF+AgiIrm1Y7RA13LihFgKNiICWL5cJI/wcDEIr7BQTBXS\nt68Yu1FeLkoj+/aJxJGY2Lw7a//+4nV9+sh1NURErud1JY6ICDGqe8AA0W5RXCyqmG6/XSSCgQPF\n3FVHjgD33iuqq376SUwPwpHQREReWOLw8RFVS598AqxfL6qf+vZtnFepf3/RFffsWVFtNXSomPjw\n11/ljpyIyD14XYkDEMmislKUOu66S5Qq/v73xgFyDz4oekwNHCheHxEhphb5+WeRSIiIvJlXJo7u\n3cVU36GhYhDggQNie0N35cDAxp5TgJinys+v8XkiIm/mlYnjp5/ExITDhgH33CMaxgcNErPatmTS\nJDGdSGvPExF5E69LHPv2ifmpevZsPq9UW0lBoWDSICJq4HWN4ytXisWSIiPFokpERGQfrytxTJ0q\nqqpiYuSOhIjIM3ld4rjnHtEoXlsrdyRERJ7J66qqDh4Us+Du2CF3JEREnsnrShxDh3KpVSKijvCq\nEkdNDfDWW0BRUfuXZyUiouZcnjj27NmD+Ph4jBs3DgsXLgQArFq1ClqtFrNmzYLFYgEApKWlIT4+\nHsnJyaisrAQAZGRkIC4uDomJiSgpKQEA6PV6aLVaaLVaHDp0qM1zW62ibePgwUy3HMyXmZkpdwgt\ncse43DEmwLG43O9aMuUO4BKZdrxWLD3r6KNfv/ArR+N2fy/Xx+TyxBEeHo6MjAzs3LkTZWVl2Llz\nJ7KyspCdnY2oqChs3boVZrMZqampyM7ORkpKCtavXw8AWL58OdLT07Fy5UqsWLECALBkyRJs2rQJ\nmzdvxosvvtjmuQMCgCefBEJCMuHjhmUtd3xDAu4ZlzvGBDBxdI5MO17bsPSsY4/S0uNXjsbt/l5e\nkDj69OkDPz8/AIBSqURBQQF0Oh0AICkpCTk5OSgsLER0dDR8fHxs22pqaqBSqaBSqRATE4OCArG8\nZnl5Ofr374/Q0FAYjcYrnj8gwL1WwyMid3LlEsuyZcs6VGLpTP36hXd6iQuQsXE8Pz8fZ8+eRVBQ\nEHwufvzXaDQwGAwwGo1Qq9WXbQtsMoFUQ5WWtWHhcIBrDZPHq6s7B+BVB/c+5sRIvFVDiaUtSy8+\nLldaqmhxu6uIEpPj98F2xy/J4Pz589L48eOlsrIy6csvv5RWrVolSZIk7du3T1q4cKFUUFAgzZs3\nz/baGTNmSFVVVdKUKVNsx0hISJAkSZLGjx9v26bT6Vo8HzpSduWDDz748OJHS1xe4rBYLEhJScHq\n1avRu3dvxMTEYN26dVi0aBHS09MRGxuLiIgI6PV6WK1W2zaVSgWTyYSqqiro9XpERkYCAEJCQlBc\nXAyFQgGNRtPiOSWWRIiInMbliWPLli3Iy8vDs88+CwD429/+hnHjxkGr1SIsLAwLFiyAUqnEnDlz\noNVqERwcjLS0NADA4sWLMXHiRPj7+2PDhg0AgKVLl+K+++6DQqHA2rVrXX05REReRyHx4zgREdnB\nDTulEhGRO2PiICIiu3jFiIa9e/ciJycHBoMBQUFBiI2NxejRo+UOi4jII3X5No4FCxagtrYWSUlJ\n0Gg0qKioQHp6OpRKJd544w3Z4iopKcGKFStsvcd8fX0RGRmJ559/HldffTXj8oC43DEm8h6VlZW2\nD8M9e/Z07ck7OCTD7Wm1Wru2u8qECROkPXv2NNv2448/ShMmTJApIoFxtZ8jMR08eFCaNm2apNPp\npPHjx0s6nU6aNm2adODAgc4Ol/F0gXgkSZK+++47SafTScnJyVJKSoqUnJwsJSQkSNu3b3dZDF0+\ncSxYsEB69NFHpS1btkjbtm2TtmzZIj322GPSk08+KWtcN998s1RVVdVsW2VlpXTzzTfLFJHAuNrP\nkX98ZhcAAA4mSURBVJhuueUWqaSkpNm24uJi6ZZbbumUGK+E8XhWPJIkSfHx8S2+7+Li4lwWQ5dv\n43jttdewf/9+7N69G4WFhdBoNHj00UcxcuRIWeN6+eWXMXXqVKhUKgQGBqKiogImkwnLly9nXB4S\nl6MxSZfUDkviA1xnhtomxtM2d4une/fuyM/PR2xsrG3bwYMH0aNHD5fF0OXbONxdTU2NbW4ulUol\ndzg2jKv97IlJr9djyZIlKC8vh9VqhUKhQEhICJYuXYooGVYXYzyeFQ8AnDp1CitXrsTBgwdhsVjg\n4+OD4cOH45lnnsGAAQNcEgMTh0wqKyuxfv36y3p7zZ07t9lkjozLfeNyx5iIXIGJQybJyclISUm5\nrLfXe++9h88//5xxeUBcjsTU0BOroKAAFotF9p5YjMez4gGAQ4cO4cUXX4TRaIQkSfDx8YFarcZf\n/vIXREdHuyYIl7WmUDNxcXGSxWJpts1isbi0gasljKv9HInJ3XqHMR7PikeSRIN9cXFxs22ubrDv\n8o3j7uqJJ56ATqdDdHQ01Go1jEYj9Ho95s2bx7g8JC5HYqqpqcGwYcOabRs2bBhqamo6O1zG0wXi\naY3k4gZ7VlXJyGw2o7CwEEajERqNBhEREVC6wfKEjKvzYsrIyMDy5csv64m1ePFiJCYmujByxuOJ\n8QDu0WDPxCETi8WCrVu3Xtaweuedd8p6M2RcronJ3XqHMR7PikduTBwymTVrFqKioi5rWD1w4ADe\nf/99xuUBcTkSk7v1xGI8nhUP4CYN9i5rTaFmWmvIknNEalvnZ1ztP3dbMd1xxx3Spk2bpHPnzklm\ns1k6f/68tHnzZmnq1KmdFWabGI9nxSNJ7tFgL3/FtZeaNm0apk6dCp1OB7VajYqKCmRlZSE5OVnW\nuJKTkz0iLqPRiJ07d+KOO+7wqJjOnTuHu+++Gz4+YkWDXr16YcaMGXj99dddFTbj8eB4APdosGdV\nlYzOnDmDvLw8GAwGaDQaxMTE4NixY4iJiZE1rp07d6KgoABBQUFQq9WIiYnB0aNHMXbsWFnjys3N\nRV5eHnr16gWVSgWDwYCUlBTbP7UcGv6GDY3jeXl5WLJkSauvT0tLQ2pq6mU9sebMmYMHH3zQhZEz\nHk+MB3CPBnsmDplYrdYWt0+aNAnbt293cTSNFi5ciLKyMiiVSpw9exbvvPMOevfujQkTJmDHjh2y\nxTVv3jzU1taiuroaPXr0QGBgINRqNU6ePIl3331Xlpi0Wi0UCgWAxvmMCgoKMGzYMOzcubPV/dyt\ndxjj8ax4GsjZYC//1Xupnj17NpukDBA3n/z8fJkiEnJzc203vfz8fNxzzz1YvXq1rDEBogtiVlYW\nACAqKgoHDx4EAOh0Otliuuuuu3DgwAE89NBDtjhuu+02fP31163uY7FY8Omnn7pN7zDG41nxAO7R\nYM/EIZOhQ4fiv//9LzQaTbPtEydOlCkiwWKxoK6uDn5+foiOjsZ///tfpKSkQK/XyxqX2Wy2fb9i\nxQoZI2m0YMEC1NXV4e2330Zqaipmzpx5xX0eeughREVFYebMmc16Yj300EOy9A5jPJ4VDwDMnDkT\nKSkpmD17drOYZs6c6brpd1zWDE/NlJSUSLW1tZdtr6+vlyGaRj/++KNUWlrabJvZbJY+/PBDmSIS\nDh06JJnN5mbbamtrpU8//VSmiJqrr6+X3nnnHem5555r83Xu1juM8bTN3eKRJPeYfoclDpmEhoa2\nuF3uutMxY8Zcts3X1xf333+/DNE0urQXCQD4+fnJ3turgVKpxOzZs6/4OnfrteZuvdVa620oVzyt\n/b3k7M3nDtPvsHGcyMXcrdeavT3DOtOpU6egVCqRm5sLo9GI33//Hddccw3uv/9+WT5U1dXV4aOP\nPsKJEycwaNAg1NXV4dixY5g/fz6CgoJcHk8DuRvsmTiIXMjdeq052jOsszT8HubPn4+AgAAkJCTg\np59+Ql5eHjZv3uzyeKZPn44xY8agvLwce/fuxe23346QkBCkpaVh27ZtLo8HcI/pd1hVReRC7tZr\nzZGeYZ2pYUxOQUEB0tPTAQC33norEhISZInHYDDghRdeACB68z399NMAIFsXcMA9GuyZOIhcyN16\nrTnSM6wz/fGPf8QjjzyCgQMHIiUlBePHj0d+fj5Gjx4tSzwajQZ//etfYTQa0bt3b7z66qsIDg5G\nt27dZIkHAI4dO4aNGzc22zZy5EhotVqXxcCqKg/28ssv48MPP4Svry98fX2xfv36Tht1npCQgFdf\nfRWjRo3q8LHWr1+PgIAApKSkOCEyz7Jnzx6Eh4ejT58+tm0WiwVbtmyRvQOC2WzGxo0bcfjwYaxc\nuVK2OEpKSrBt2zaUlpZCo9EgLi4Ow4cPlyWWuro6fPPNNwgJCUFcXBw2btwIo9GIlJQU9OrVS5aY\nVq9ejczMzMsa7MeNG4dnnnnGJTEwcXio3bt3Y+HChcjKyoJSqcT58+dRV1eHfv36dcr5nJk4iKhj\n5J6uSL5JfqhDTp06hauuusrWGBYcHIx+/fph+fLlGDt2LKKjo/HYY4/ZXp+QkICnn34aMTExiIyM\nRG5uLu666y4MHjzY1oPm+PHjGDp0KFJSUhAZGYl7770XJpPpsnNv374dcXFxGD16NO677z5UV1e3\nGufzzz+PG2+8ESNGjMCzzz4LAFi2bBlee+01nDp1CiNHjsSoUaMwcuRIKJVKFBUV4ezZs7j77rsx\nduxYjB07Frt27XLmr47Io1mtVoSEhGDSpEm47777MHnyZISEhGDx4sWuC8JlI0bIqSorK6URI0ZI\ngwcPlubNmydlZWVJkiRJ5eXlttfMmjVL+uKLLyRJkiSdTic9//zzkiRJ0htvvCGFhoZKpaWlUu3/\nb+9eQpta/gCOf2PFEKIERRf1iVSpkhytLUKsGBqEWpqg0IUkIoJVF6IuuxHtQxRawUfUKmpBN5KF\nj4VWF2qDD6KNNaVqfeADYhRcWFujMRpjmbsoPTex/T/ildpcfh8odM45mTMn0P6YMzO/SSbV9OnT\nVW9vr4pEIspgMKi7d+8qpZSqrq5W+/bt0z8fDodVT0+PcjgcKpFIKKWUampqUrt27Rq2jR8+fFCF\nhYV6ORaLKaWUqq+v1+sd1NzcrDwej1JKqTVr1qhgMKiUUioajar58+f/g29KiH8Xk8mknE5nxk9Z\nWZmaNGnSiLVBBsdzlNlsprOzk9u3bxMIBPB4PDQ2NjJ+/Hj27t1LIpGgr68Pm82Gy+UC0BeZaZqG\npmn6e/aCggLevHmDxWJh5syZeg6ttWvXcvjwYX0mCQy8Invy5AlLly5FKUUqlWLJkiXDttFisWAy\nmdi4cSMulwu32z3sdcFgkJaWFoLBIADXr1/n6dOn+vTQeDxOIpGQndeEYHSkK5LAkcMMBgMOhwOH\nw4GmaRw/fpxHjx4RDoeZOnUqDQ0NGa+ajEYjMDDlcfD3wXrSc0H9fI90SinKy8s5c+bM/2xfXl4e\n9+7do62tjbNnz3LkyBHa2toyrnn37h2bNm3i0qVLmEwm/R6hUOiPzlwRYrRqbW3V/1bSjeQUahnj\nyFHPnz/n5cuXermrq4t58+YBA+Md8Xicc+fOZV1vNBolFAoBA3sR/DzFz263EwwGefXqFQCJRIIX\nL14MW9eXL1/4+PEjFRUV7N+/f0jm3x8/frB69WqampooKCjQj5eXl+Pz+fTygwcPsn4OIf6t8vPz\nGTdu3JDjI7lyXHocOSoej7Nt2zZisRhjx45lzpw5nDhxAovFgs1mIz8/PyPv1M89h3Tp5woLC2lu\nbmb9+vVYrVZ9gH3wmsmTJ3P69Gm8Xi/JZBKDwcDu3buZO3fukHo/f/7MqlWr9F7PgQMHMs7fuXOH\ncDhMXV0dtbW1GAwGrly5gs/nY8uWLSxcuJD+/n4cDgdHjx799S9LCPFbyXRcoXv9+jVut1vf60II\nIYYjr6pEhv/WMxFCCJDAIdLMmjXrl3cgrKqqori4WF+TUVxc/Ee3wBW5Z8yYMaxbt04v9/f3M2XK\nlKxTzjudTjo7OwFwu918+vTpt7ZTyBiH+E0uXLjwp5sgcpzZbKa7u5tkMonRaOTatWvMmDHjH9XZ\n2tr6m1on0kmPQwgxalRWVnL58mUA/H4/Xq9XP5dIJNiwYQN2u52SkhIuXrwIwLdv3/B6vVitVqqq\nqjKmoM+ePZve3l5gIEX64sWL0TSNlpYW/ZoJEyawY8cOioqKKC0t5f379yPxqDlNAocQYlQwGAx4\nPB78fj/JZJKHDx9mbG61Z88eli9fTnt7O4FAgJqaGr5+/cqxY8cwm808fvyYhoYG7t+/n1HnoFOn\nTtHR0UFHRwc+n4++vj5gYNp4aWkpXV1dLFu2jJMnT47cQ+coCRxCiFHDZrMRiUTw+/24XC7SJ31e\nvXqVxsZGFi1aRFlZGd+/fycajXLr1i0907KmaRmZdNM/f/DgQYqKirDb7bx9+1Zff2Q0GqmsrASg\npKSESCQyAk+a22SMQwgxqqxcuZKamhpu3LhBT0+Pflwpxfnz54ddM5RuuBUGN2/eJBAIEAqFMBqN\nOJ1O/ZVWeoaCvLy8/5hFQfxNehxCiFFh8B9+dXU1dXV1WK3WjPMrVqzg0KFDermrqwsAh8Ohp8Dp\n7u4edmZgLBZj4sSJGI1Gnj17Rnt7+5D7iv+fBA4hxKgwOB4xbdo0tm7dOuT8zp07SaVSLFiwAE3T\nqK2tBWDz5s3E43GsViv19fUZuwUO1llRUUEqlcJqtbJ9+/aMxJyydil7snJcCCFEVqTHIYQQIisS\nOIQQQmRFAocQQoisSOAQQgiRFQkcQgghsiKBQwghRFYkcAghhMjKX7fYW3/H1k78AAAAAElFTkSu\nQmCC\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7f5f0a245358>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "from pandas.plotting import scatter_matrix \n",
    "scatter_matrix(recent_grads[['Sample_size', 'Median']], figsize=(6,6))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([[<matplotlib.axes._subplots.AxesSubplot object at 0x7f5f0c701240>,\n",
       "        <matplotlib.axes._subplots.AxesSubplot object at 0x7f5f0c6dfcf8>,\n",
       "        <matplotlib.axes._subplots.AxesSubplot object at 0x7f5f0c631550>],\n",
       "       [<matplotlib.axes._subplots.AxesSubplot object at 0x7f5f0c5eac18>,\n",
       "        <matplotlib.axes._subplots.AxesSubplot object at 0x7f5f0c5b85c0>,\n",
       "        <matplotlib.axes._subplots.AxesSubplot object at 0x7f5f0c5747f0>],\n",
       "       [<matplotlib.axes._subplots.AxesSubplot object at 0x7f5f0c53d940>,\n",
       "        <matplotlib.axes._subplots.AxesSubplot object at 0x7f5f0c4fe630>,\n",
       "        <matplotlib.axes._subplots.AxesSubplot object at 0x7f5f0c4c7860>]],\n",
       "      dtype=object)"
      ]
     },
     "execution_count": 22,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAm4AAAJuCAYAAAAJqI4TAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\nP4DcItHweIUkAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7f5f0c7094a8>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "scatter_matrix(recent_grads[['Sample_size', 'Median', 'Unemployment_rate']], figsize=(10,10))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {
    "collapsed": false,
    "scrolled": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([[<matplotlib.axes._subplots.AxesSubplot object at 0x7f5f0c3c1a58>,\n",
       "        <matplotlib.axes._subplots.AxesSubplot object at 0x7f5f0c349780>,\n",
       "        <matplotlib.axes._subplots.AxesSubplot object at 0x7f5f0c318198>],\n",
       "       [<matplotlib.axes._subplots.AxesSubplot object at 0x7f5f0c2d34a8>,\n",
       "        <matplotlib.axes._subplots.AxesSubplot object at 0x7f5f0c29be48>,\n",
       "        <matplotlib.axes._subplots.AxesSubplot object at 0x7f5f0c258f98>],\n",
       "       [<matplotlib.axes._subplots.AxesSubplot object at 0x7f5f0c1a7ba8>,\n",
       "        <matplotlib.axes._subplots.AxesSubplot object at 0x7f5f0c163be0>,\n",
       "        <matplotlib.axes._subplots.AxesSubplot object at 0x7f5f0c12bd30>]],\n",
       "      dtype=object)"
      ]
     },
     "execution_count": 23,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAqkAAAJuCAYAAACTy5vLAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\nhENFKiGEEEIIEc7/A/Jg09GBlNbnAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7f5f0c3d74e0>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "scatter_matrix(recent_grads[['ShareWomen', 'Total', 'Median']], figsize=(10,10))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "metadata": {
    "collapsed": false,
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([[<matplotlib.axes._subplots.AxesSubplot object at 0x7f5f0a188eb8>,\n",
       "        <matplotlib.axes._subplots.AxesSubplot object at 0x7f5f0a00ddd8>],\n",
       "       [<matplotlib.axes._subplots.AxesSubplot object at 0x7f5f09fdc780>,\n",
       "        <matplotlib.axes._subplots.AxesSubplot object at 0x7f5f09f98908>]],\n",
       "      dtype=object)"
      ]
     },
     "execution_count": 34,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAY8AAAGPCAYAAACkmlznAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\nQwghRLfJ4CGEEKLbZPAQQgjRbf8DWM6/fuAdlMwAAAAASUVORK5CYII=\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7f5f0a028400>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "scatter_matrix(recent_grads[['Full_time', 'Median']], figsize=(6,6))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Visualizing bar plots to compare different variables"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x7f5f0a6d1e10>"
      ]
     },
     "execution_count": 25,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAXEAAAIbCAYAAAAdAK4FAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7f5f0a6601d0>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "recent_grads[:10].append(recent_grads[-10:]).plot.bar(x='Major', y='ShareWomen')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {
    "collapsed": false,
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x7f5f0a674e80>"
      ]
     },
     "execution_count": 26,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAXcAAAIbCAYAAAAQHt5CAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz\nAAALEgAACxIB0t1+/AAAIABJREFUeJzs3XlYVNX/B/D3sLivgIAOmwvIIsj6dS1xiUfNsFxRf64o\nmpFLapqagvuSGooVmWmYgqUmWYoVipqJprkrJi4sY5I7oCjLfH5/8OV+Z4CZe4cZkKbP63nmeebO\nvefwmXuHz9w599xzZEREYIwxZlRMXnYAjDHGDI+TO2OMGSFO7owxZoQ4uTPGmBHi5M4YY0aIkztj\njBkhSck9MTERrq6ucHFxwcqVK8utv3btGjp37ow6depg7dq1auuWL18ODw8PeHl5YcSIESgoKDBM\n5IwxxjQSTe5KpRLh4eE4ePAgLl++jLi4OKSmpqptY2lpiQ0bNmDWrFlqr6enp2PTpk04e/YsLly4\ngKKiIsTHxxv2HTDGGCtHNLmfOnUKzs7OcHR0hLm5OUJCQpCQkKC2jZWVFfz8/GBmZqb2eqNGjVCr\nVi08ffoURUVFePbsGVq0aGHYd8AYY6wc0eSuUChgb28vLNvZ2UGhUEiqvGnTppgxYwYcHBwgl8vR\npEkT9OrVq/LRMsYYk8RMfJPKu3nzJtatW4f09HQ0btwYgwYNwo4dOzB8+PBy28pksqoMhTHGjJKm\nEWREz9zlcjkyMjKE5aysLMjlckl/9PTp0+jSpQssLCxgamqKAQMG4LffftMapKbHwoULta6X8tC3\njpoQQ02poybEUFPqqAkx1JQ6akIMNaWO6ohBG9HkHhAQgLS0NKSnp6OgoADx8fEIDg7WmqBLtW3b\nFikpKXj+/DmICElJSXBzcxP7k4wxxvQk2ixjamqK6OhoBAUFQalUIjQ0FG5uboiJiYFMJkNYWBiy\ns7Ph7++P3NxcmJiYICoqCleuXEH79u0xatQo+Pn5wdTUFD4+PggLC6uO98UYY/9uVEOIhXL48GG9\n/4a+ddSEGCpTh729DQHQ+rC3t6nSGIy5jpoQQ02poybEUFPqqI4YtOVN2X83eOlkMploGxKrHJlM\nhsOHtW/TvbvmCzOMsZpJW96s0t4yjP3TODk5IT09/WWHwZgaR0dH3L59W6cynNwZU5Gens6/YFiN\nU5mu4jxwGGOMGSFO7owxZoQ4uTPGmBHi5M4YY0aIkztjrEq0bNkShw4detlh/GtxcmdMhK2tE2Qy\nWZU9bG2dJMdiYmKCmzdvqr0WGRmJkSNHGvhd//t89dVXeOWVV6qk7vT0dJiYmECpVFZJ/RXhrpCM\nicjOTkfJjbxVVb/0bm6ausTxqKr6I6JK70elUgkTE83nyqV1V2c3Wz5zZ+wfRCw5HDlyBPb29li7\ndi1sbGwgl8uxdetWYX1BQQFmzpwJR0dHNG/eHJMnT8aLFy/Uyq5evRrW1taQy+XYu3cvDhw4ABcX\nF1hZWWHFihVCXZGRkRg8eDBCQkLQqFEj+Pv748KFCxXGVVBQgGnTpkEul8POzg7Tp09HYWEhAMDT\n0xM//vijsG1RURGaNWuG8+fPC2e8W7duhYODA6ysrPDZZ5/h9OnTaN++PSwsLPDuu++q/a0vv/wS\n7u7usLS0RJ8+fdRGtTUxMUFMTAxcXFxgYWGB8PBwAEBqairefvttnDhxAg0bNoSFhYXW/Tx27FhM\nnjwZr7/+Oho2bIjk5GTs378fvr6+aNy4MRwdHREZGSls361bNwBAkyZN0KhRI5w8eVI0Vr3pPfiB\ngdSgUIwOADp8WPuD93+JivYDAAKoCh/S971MJqMbN26ovRYREUEjR44kIqLk5GQyMzOjiIgIKioq\nov3791O9evXo8ePHREQ0bdo06t+/Pz1+/Jjy8vIoODiY5s6dq1Z2yZIlVFRURJs2bSIrKysaPnw4\nPX36lC5fvkx169al27dvC3+3Vq1atGfPHioqKqKPPvqIWrZsSUVFRURE5OTkRElJSURE9OGHH1Kn\nTp3o/v37dP/+fercuTMtWLCAiIhWrVpFQ4cOFd7P3r17ycvLi4iIbt++TTKZjN5++2168eIF/fTT\nT1S7dm1688036f79+6RQKMja2pqOHj0qlHV2dqZr165RcXExLV26lDp37qy2/9544w3KycmhjIwM\natasGR08eJCIiLZu3UqvvPKKpOMwZswYatKkCZ04cYKIiF68eEFHjhyhS5cuERHRxYsXydbWlhIS\nEoT3YWJiQkqlUu19aotVlabPiLbPTo35j+bkUnU4uUtnDMm9Xr16VFxcLKy3tramkydPEhFR/fr1\n6ebNm8K63377jVq2bKlWtjQB5ebmkkwmo99//13Y3s/PT0hYERER1KlTJ2GdUqmk5s2b06+//kpE\n6sm9devWlJiYKGx78OBBcnJyIiKiO3fuUIMGDSg3N5eIiAYNGkSrV68mov8lxb/++ksoa2lpSd9+\n+62wPHDgQIqKiiIioj59+tCXX34prCsuLqZ69epRRkaGsP9+++03Yf2QIUNo5cqVRKR7ch89erTW\nbaZNm0bvvfee2vtQPS5isaqqTHLnZhnG/kFMTU2F5oxShYWFMDc3F5YtLS3V2n/r1auHvLw83Lt3\nD8+ePYOfnx8sLCxgYWGBPn364MGDB2plS9ud69atCwCwtrYW1tetWxd5eXnCsuoUnDKZDHZ2drhz\n5065uO/cuQMHBwdh2dHREX/99RcAoHnz5ujatSt2796NJ0+e4MCBAxgxYoRa+bIxaIopPT0dU6dO\nFd5f6ftRnRrUxsam3L6pDNX3DpTMN92jRw9YW1ujSZMmiImJwf379zWWlxKrPji5M/YP4uDgUG4A\nqVu3bsHR0VG0rJWVFerVq4fLly/j4cOHePjwIR4/fownT55UOp7MzEzhORFpnKmtRYsWagOypaen\no0WLFsLyqFGjsG3bNnz77bfo3LkzmjdvXql47O3tERMTI7y/R48eIS8vDx07dhQtq+vF1LLbDx8+\nHG+++SYUCgUeP36MiRMnCtdIKqrbwcGh0rFKwcmdsX+QoUOHYsmSJVAoFCAi/PLLL/jhhx8waNAg\n0bIymQwTJkzAtGnTcO/ePQCAQqHATz/9VOl4zpw5g71796K4uBjr1q1DnTp10KFDh3LbDRs2DEuW\nLMH9+/dx//59LF68WK375ltvvYU//vgD69evx6hRo9TKliZIKSZNmoRly5bhypUrAIAnT55g165d\nksra2NggKyur3C8jqfLy8tC0aVOYm5vj1KlT2LFjh7CuWbNmMDExwY0bN4TXJk6cWOlYpZCU3BMT\nE+Hq6goXFxesXLmy3Ppr166hc+fOqFOnDtauXau27smTJxg8eDDc3Nzg4eEhXCVm7J/CxsYRgKzK\nHiX1S7NgwQJ07twZXbt2hYWFBebMmYMdO3bA3d1dYxnVs8YVK1agTZs26NixI5o0aYKgoCD8+eef\nkspWtNy/f3/s3LkTTZs2xfbt27Fnzx6YmpqW23b+/Pnw9/eHl5cX2rdvD39/f8ybN09YX6dOHQwY\nMAC3bt3CgAEDdIpBdfnNN9/EnDlzEBISgiZNmsDLywuJiYmSyvbo0QMeHh6wtbVVa/apSEVn4p98\n8gk+/PBDNG7cGEuWLMHQoUOFdXXr1sW8efOEOaVPnTolGqu+RCfrUCqVcHFxQVJSElq0aIGAgADE\nx8fD1dVV2Ob+/ftIT0/H3r170bRpU7z33nvCujFjxqBbt24YO3YsioqK8OzZMzRq1Kh8IDxZR5Xh\nyTqk48+hdJGRkbhx4wZiY2MNUt+SJUvw559/Gqw+Y6Lpc6nt8yp65n7q1Ck4OzvD0dER5ubmCAkJ\nQUJCgto2VlZW8PPzg5mZ+j1ROTk5OHbsGMaOHQsAMDMzqzCxM8b+3R4+fIjNmzfzHMsGJJrcFQqF\n2lVhOzs7yVdzb926BSsrK4wdOxa+vr4ICwtDfn5+5aNljBmdL774Ag4ODujbty+6du36ssMRtGvX\nDo0aNRIeDRs2RKNGjRAXF/eyQ5OkSocfKCoqwh9//IGNGzfC398f06ZNw4oVK9Tu3FIVEREhPA8M\nDERgYGBVhscY08PChQsNUs/48eMxfvx4g9RlSJcuXXrZIZSTnJyM5ORkSduKJne5XK52S6ymrk4V\nsbOzg729Pfz9/QEAgwYNqvCCbCnV5M4YY0xd2ZNeTSfKgIRmmYCAAKSlpSE9PR0FBQWIj49HcHCw\nxu1VG/dtbGxgb28vXI1PSkrSelWfMcaYYYieuZuamiI6OhpBQUFQKpUIDQ2Fm5sbYmJiIJPJEBYW\nhuzsbPj7+yM3NxcmJiaIiorClStX0KBBA6xfvx4jRoxAYWEhWrVqhS1btlTH+2KMsX810a6Q1YW7\noFUd7gopnZOTk9qdlIzVBI6OjuXuTAa0500ez50xFRX9AzH2T8TDDzDGmBHi5M4YY0aIkztjjBkh\nTu6MMWaEOLkzxpgR4uTOGGNGiJM7Y4wZIU7ujDFmhDi5M8b+9WztbCGTybQ+bO1sX3aYOuE7VBlj\n/3rZimwgQmSbiOxqicVQ+MydMcaMECd3xhgzQpzcGWPMCHFyZ4wxI8TJnTHGjJCk5J6YmAhXV1e4\nuLhUOAfqtWvX0LlzZ9SpUwdr164tt16pVMLX11fr9HyMMcYMR7QrpFKpRHh4OJKSktCiRQsEBASg\nf//+cHV1FbaxtLTEhg0bsHfv3grriIqKgru7O3JycgwXOWOMMY1Ez9xPnToFZ2dnODo6wtzcHCEh\nIUhISFDbxsrKCn5+fjAzK/9dkZWVhf3792P8+PGGi5oxxphWosldoVDA3t5eWLazs4NCoZD8B6ZP\nn47Vq1dDJpNVLkLGGGM6q9I7VH/88UfY2NjA29sbycnJohMwR0RECM8DAwMRGBhYleExxtg/SnJy\nMpKTkyVtK5rc5XI5MjIyhOWsrCzI5XJJlR8/fhzff/899u/fj/z8fOTm5mLUqFGIjY2tcHvV5M4Y\nY0xd2ZPeyMhIjduKNssEBAQgLS0N6enpKCgoQHx8vNZeL6pn58uWLUNGRgZu3ryJ+Ph49OjRQ2Ni\nZ4wxZjiiZ+6mpqaIjo5GUFAQlEolQkND4ebmhpiYGMhkMoSFhSE7Oxv+/v7Izc2FiYkJoqKicOXK\nFTRo0KA63gNjjLEyZCTWEF5NZDKZaJs8qxyZTIbDh7Vv0707eP+zfy2ZTCY6KiQiat7/iLa8yXeo\nMsaYEeLkzhhjRoiTO2OMGSFO7owxZoQ4uTPGmBHi5M4YY0aIkztjjBkhTu6MMWaEOLkzxpgR4uTO\nGGNGiJM7Y4wZIU7ujDFmhDi5M8aYEeLkzhhjRoiTO2OMGSFO7owxZoQkJffExES4urrCxcUFK1eu\nLLf+2rVr6Ny5M+rUqYO1a9cKr2dlZaFHjx7w8PCAp6cn1q9fb7jIGWOMaSQ6zZ5SqUR4eDiSkpLQ\nokULBAQEoH///nB1dRW2sbS0xIYNG7B37171ys3MsHbtWnh7eyMvLw9+fn4ICgpSK8sYY8zwRM/c\nT506BWdnZzg6OsLc3BwhISFISEhQ28bKygp+fn4wM1P/rrC1tYW3tzcAoEGDBnBzc4NCoTBg+Iwx\nxioimtwVCgXs7e2FZTs7u0ol6Nu3b+PcuXPo0KGDzmUZY4zpRrRZxhDy8vIwaNAgREVFoUGDBhq3\ni4iIEJ4HBgYiMDCw6oNjjLF/iOTkZCQnJ0vaVjS5y+VyZGRkCMtZWVmQy+WSgykqKsKgQYMwcuRI\n9O/fX+u2qsmdMcaYurInvZGRkRq3FW2WCQgIQFpaGtLT01FQUID4+HgEBwdr3J6I1JbHjRsHd3d3\nTJ06VULojDHGDEH0zN3U1BTR0dEICgqCUqlEaGgo3NzcEBMTA5lMhrCwMGRnZ8Pf3x+5ubkwMTFB\nVFQUrly5gvPnz2P79u3w9PSEj48PZDIZli1bht69e1fHe4OtnS2yFdka19vIbXA36261xMIYY9VJ\nRmVPtV8SmUxW7qzfEHUiQssGEeV/aRgjmUyGw4e1b9O9+79jXzBWEdFcAdTIfKEtb/IdqowxZoQ4\nuTPGmBHi5M4YY0aIkztjjBkhTu6MMWaEOLkzxpgR4uTOGGNGiJM7Y4wZIU7ujDFmhDi5M8aYEeLk\nzhhjRoiTO2P/UA62DpDJZBofDrYOLztE9hJVy2QdjDHDy8zOxGFoHhGue3b3aoyG1TR85s4YYzWE\nrYP2X2O2DtJ/jfGZO2OM1RDZmZnQNj53dnfpv8YknbknJibC1dUVLi4uWLlyZbn1165dQ+fOnVGn\nTh2sXbtWp7KMMcYMTzS5K5VKhIeH4+DBg7h8+TLi4uKQmpqqto2lpSU2bNiAWbNm6VyWMcaY4Ykm\n91OnTsHZ2RmOjo4wNzdHSEgIEhIS1LaxsrKCn58fzMzMdC7LGGPM8ESTu0KhgL29vbBsZ2cHhUIh\nqXJ9yjLGGKu8GnVBNSIiQngeGBiIwMDAlxYLY4zVRKp5UhvR5C6Xy5GRkSEsZ2VlQS6XS6pc17JS\ng2aMsX8r1TwZGRmpcTvRZpmAgACkpaUhPT0dBQUFiI+PR3BwsMbtVWfi1rUsY4wxwxA9czc1NUV0\ndDSCgoKgVCoRGhoKNzc3xMTEQCaTISwsDNnZ2fD390dubi5MTEwQFRWFK1euoEGDBhWWZYwxVrUk\ntbn37t0b165dU3tt4sSJwnMbGxtkZmZKLssYY6xq8fADjDFmhDi5M0lsbW21jnkhk8lga2v7ssNk\njP0XJ3cmSXZ2tkG2YYxVD07ujDFmhDi5M8aYEeLkzhhjRoiTO2OMGSFO7owxZoQ4uTPGmBHi5M4Y\nY0aIkztjjBkhTu6MMWaEOLkzxpgR4uTOGGNGiJM7Y4wZIU7ujDFmhCQl98TERLi6usLFxQUrV66s\ncJspU6bA2dkZ3t7eOHfunPD68uXL4eHhAS8vL4wYMQIFBQWGiZwxxphGosldqVQiPDwcBw8exOXL\nlxEXF4fU1FS1bQ4cOIAbN27g+vXriImJwaRJkwAA6enp2LRpE86ePYsLFy6gqKgI8fHxVfNOGGOM\nCUST+6lTp+Ds7AxHR0eYm5sjJCQECQkJatskJCRg1KhRAIAOHTrgyZMnyM7ORqNGjVCrVi08ffoU\nRUVFePbsGVq0aFE174QxVu3EJnHhCVxeHtHkrlAoYG9vLyzb2dlBoVBo3UYul0OhUKBp06aYMWMG\nHBwcIJfL0aRJE/Tq1cuA4TPGXiaxCVp4ApeXR9IE2ZV18+ZNrFu3Dunp6WjcuDEGDRqEHTt2YPjw\n4RVuHxERITwPDAxEYGBgVYbHGGP/OKp5UhvR5C6Xy5GRkSEsZ2VlQS6Xl9smMzOz3DZHjhxBly5d\nYGFhAQAYMGAAfvvtN0nJnTHGWHmqeTIyMlLjdqLNMgEBAUhLS0N6ejoKCgoQHx+P4OBgtW2Cg4MR\nGxsLAEhJSUGTJk1gY2ODtm3bIiUlBc+fPwcRISkpCW5ubpV8S4wxxqQSPXM3NTVFdHQ0goKCoFQq\nERoaCjc3N8TExEAmkyEsLAx9+/bF/v370aZNG9SvXx9btmwBALRv3x6jRo2Cn58fTE1N4ePjg7Cw\nsCp/U4wxcQ4OtsjM1N4mbm9vg4yMu9UUETMkGRHRyw4CAGQyGQwdikwmAyK0bBABg//Nmkgmk+Hw\nYe3bdO+ufV/IZDJJf+vfsD9rCplMhsPQfGC7o7voMa2Oz8U/4TMhmiuAaskXMpkMWg9Kd/Vjqi1v\n8h2qjDFmhDi5M8aYEeLkzhhjRoiTO2OMGSFO7owxZoQ4uTPGmBHi5M4YY0aIkztjjBkhTu6MMWaE\nOLkzxpgR4uTOGGNGiJM7Y4wZIU7ujDFmhDi5M8aYEeLkzhj7x7O1dRKZqNvpZYdY7ap0DlXGGKsO\n2dnpADSPtZ6dLW0+AmMi6cw9MTERrq6ucHFxwcqVKyvcZsqUKXB2doa3tzfOnTsnvP7kyRMMHjwY\nbm5u8PDwwMmTJw0TOWOMMY1Ek7tSqUR4eDgOHjyIy5cvIy4uDqmpqWrbHDhwADdu3MD169cRExOD\nSZMmCeumTp2Kvn374urVqzh//jzPocoYY9VANLmfOnUKzs7OcHR0hLm5OUJCQpCQkKC2TUJCAkaN\nGgUA6NChA548eYLs7Gzk5OTg2LFjGDt2LADAzMwMjRo1qoK3wRhjTJVoclcoFLC3txeW7ezsoFAo\ntG4jl8uhUChw69YtWFlZYezYsfD19UVYWBjy8/MNGP6/g4Otg9aLRQ62Di87RMZYDVOlF1SLiorw\nxx9/YOPGjfD398e0adOwYsUKREZGVrh9RESE8DwwMBCBgYFVGd4/RmZ2pvaJkLO7V2M0jLGXSTVP\naiOa3OVyOTIyMoTlrKwsyOXycttkZmZWuI29vT38/f0BAIMGDdJ4QVaXoBmrLFs7W2QrsrVuYyO3\nwd2su9UUEWO6Uc2Tmk6UAQnJPSAgAGlpaUhPT0fz5s0RHx+PuLg4tW2Cg4OxceNGDB06FCkpKWjS\npAlsbGwAlCT3P//8Ey4uLkhKSoK7u3sl3xJj+stWZAMRIttEaE/+jP0TiCZ3U1NTREdHIygoCEql\nEqGhoXBzc0NMTAxkMhnCwsLQt29f7N+/H23atEH9+vWxZcsWofz69esxYsQIFBYWolWrVmrrGNOV\nra3Tf/s0V8zGxhF3796uvoAYq6Ektbn37t0b165dU3tt4sSJasvR0dEVlm3fvj1+//33SobHmDq+\nWYUxaXj4AcYYM0Kc3BljzAhxcmeMMSPEyZ0xxgzAydZW682GTra21RoPjwrJGGMGkJ6dreVSPyDL\nrt4utnzmzhhjRoiTO2OMGSFO7lXM1kH7oF+2DjzoF2PM8LjNvYplZ2YChzUP+pXdnQf9YowZHp+5\nM8aYEeLkzpiOxLq8vYxub4yVxc0yjOlIrMsbUP3d3hgri8/cGWMvla2tk/ZOB7ZOLzvEfyQ+c2eM\nvVQ80mfV4DN3xhgzQpzcGWPMCElK7omJiXB1dYWLi4vGOVCnTJkCZ2dneHt749y5c2rrlEolfH19\nERwcrH/EjDHGRIkmd6VSifDwcBw8eBCXL19GXFwcUlNT1bY5cOAAbty4gevXryMmJgaTJk1SWx8V\nFcVzpzLGWDUSTe6nTp2Cs7MzHB0dYW5ujpCQECQkJKhtk5CQgFGjRgEAOnTogCdPniD7v13BsrKy\nsH//fowfP74KwmeMMVYR0eSuUChgb28vLNvZ2UGhUGjdRi6XC9tMnz4dq1evhkzGV7wZY6y6VGlX\nyB9//BE2Njbw9vZGcnIyiLTf+hERESE8DwwMRGBgYFWGx9hLY+vgUDLukAY29va4m5FRjRGxfwrV\nPKmNaHKXy+XIUPmQZWVlQS6Xl9smU+WDWrrNrl278P3332P//v3Iz89Hbm4uRo0ahdjYWL2CZuyf\njgeUY5WlmicjIyM1bifaLBMQEIC0tDSkp6ejoKAA8fHx5Xq9BAcHCwk7JSUFTZo0gY2NDZYtW4aM\njAzcvHkT8fHx6NGjh8bEzhhjzHBEz9xNTU0RHR2NoKAgKJVKhIaGws3NDTExMZDJZAgLC0Pfvn2x\nf/9+tGnTBvXr18eWLVuqI3bGGGMaSGpz7927N65du6b22sSJE9WWo6OjtdbRrVs3dOvWTcfwGGOM\nVQbfocoYY0aIkztjjBkhTu6MMWaEOLkzxpgR4uTOGGNGiJM7Y4wZIU7ujDFmhDi5M8aYEeLkzhhj\nRoiTO2OMGSFO7owxZoQ4uTPGmBHi5M4YY0aIkztjjBkhTu6MMWaEOLlr4WRrC5lMpvXhZGv7ssNk\njLFyJCX3xMREuLq6wsXFBStXrqxwmylTpsDZ2Rne3t44d+4cgJK5VHv06AEPDw94enpi/fr1hou8\nGqRnZ4MArY/07OyXFyBjjGkgmtyVSiXCw8Nx8OBBXL58GXFxcUhNTVXb5sCBA7hx4wauX7+OmJgY\nTJo0CQBgZmaGtWvX4vLlyzhx4gQ2btxYrixjjDHDE03up06dgrOzMxwdHWFubo6QkBAkJCSobZOQ\nkIBRo0YBADp06IAnT54gOzsbtra28Pb2BgA0aNAAbm5uUCgUVfA22D+Bra2T1iYuW1unlx0iY0ZD\nNLkrFArY29sLy3Z2duUSdNlt5HJ5uW1u376Nc+fOoUOHDvrGzP6hsrPToa2Rq2Q9Y8wQJE2Qra+8\nvDwMGjQIUVFRaNCggcbtIiIihOeBgYEIDAys+uAYY+wfRDVPaiOa3OVyOTIyMoTlrKwsyOXycttk\nZmZWuE1RUREGDRqEkSNHon///gYJmjHG/q1U82RkZKTG7USbZQICApCWlob09HQUFBQgPj4ewcHB\natsEBwcjNjYWAJCSkoImTZrAxsYGADBu3Di4u7tj6tSpOr0Bbp9ljLHKEz1zNzU1RXR0NIKCgqBU\nKhEaGgo3NzfExMRAJpMhLCwMffv2xf79+9GmTRvUr18fW7duBQAcP34c27dvh6enJ3x8fCCTybBs\n2TL07t1bNLD/tc9qWi+T/CYZY+zfRlKbe+/evXHt2jW11yZOnKi2HB0dXa5cly5dUFxcrEd4jDHG\nKoPvUGWMMSPEyZ0xxowQJ3fGGDNCnNwZY8wIcXJnjDEjxMmdMcaMECd3xhgzQpzcGWPMCHFyZ4wx\nI8TJnTHGjBAnd8YYM0Kc3BljzAhxcmeMMSPEyZ0xxowQJ3fGGDNCkpJ7YmIiXF1d4eLigpUrV1a4\nzZQpU+Ds7Axvb2+cO3dOp7LSJOtR9r9u6VfcABEAKvum0lXAAHXoX4UBJNeMOvhzYcgwDCC5ZtTx\nD/9ciCZ3pVKJ8PBwHDx4EJcvX0ZcXBxSU1PVtjlw4ABu3LiB69evIyYmBpMmTZJcVrrkSpZTcVu/\n4gaIgP+J1STXjDpuv/QI+HOhJrlm1HH7pUdQtcn91KlTcHZ2hqOjI8zNzRESEoKEhAS1bRISEjBq\n1CgAQIcOHfDkyRNkZ2dLKssYY8zwRJO7QqGAvb29sGxnZweFQiFpGyllGWOMVQESsWvXLpowYYKw\nvG3bNnr33XfVtunXrx8dP35cWO7ZsyedOXNGUtlSKJkNmx/84Ac/+KHDQxPRCbLlcjkyMjKE5ays\nLMjl8nKr59cZAAAgAElEQVTbZGZmltumoKBAtGypkvzOGGPMEESbZQICApCWlob09HQUFBQgPj4e\nwcHBatsEBwcjNjYWAJCSkoImTZrAxsZGUlnGGGOGJ3rmbmpqiujoaAQFBUGpVCI0NBRubm6IiYmB\nTCZDWFgY+vbti/3796NNmzaoX78+tmzZorUsY4yxqiUjbg9hjDGjw3eoMsaYEeLkzhjT2fPnz3Hv\n3r1yr9+7dw/Pnz+vtjiKi4v1ruP27dsvPQbVmztfvHihti4lJaVSdda45F5cXIy8vDxhOSUlBUeP\nHsXRo0eRm5srqY7Lly/j+++/F5anT5+OcePGYdy4cfjjjz9Ey2dlZeHXX38VlteuXYtFixZh0aJF\nSEtLkxRDTk4Orl+/Lix/++23iI2NRWxsLLKzsyXVsXnzZqxevVpYlsvlaNSoERo2bIjPPvtMUh0J\nCQnYuHGjsNyhQwe0atUKrVq1wq5du0TLf/3118Lz48ePq62Ljo6WFMOmTZuEfUFEGDt2LBo1agQv\nLy9JxwMwzP7U97ju27cP6enpwvKiRYvQvn17BAcH49atW5Ji+O2337Q+pDDE/vz9999x9+5dYTk2\nNhb9+/fHlClT8PDhQ9HyU6ZMwbFjx8q9/uuvv2L69OmSYgD0T6x+fn44ceKEXnX06tULK1asQFFR\n0UuLYfjw4cLzTp06qa2bPHly5SoV6+de3WbMmEErV64Ulp2cnKhfv37Uq1cvev/99yXVUbbfvZub\nG+3atYtiY2Opf//+ouVDQkJo3759wrKLiwt99NFHtGjRIho+fLikGCZMmEBbtmwRllu3bk3h4eEU\nGhpKEydOlFSHv78/3b9/X1j29vYmIqL8/Hx69dVXJdXRuXNnysjIEJbbt29P9+/fp/T0dOrRo4do\neR8fnwqfV7SsiYeHBxUUFBAR0fbt28nX15fu379PP//8M3Xt2lVSHYbYn/oeV09PT3r69CkREe3b\nt4+cnZ3p9OnTtGnTJgoKCpIUQ+/evcs9+vTpQw4ODmRiYiKpDkPsTx8fH3rw4AERER05coSaN29O\nu3btovnz59PAgQNFy/v6+mpc5+7uLikGopLjuHz5ciosLJRcRlVKSgoFBATQ+PHj6eHDh5WqIycn\nh6ZNm0ZeXl509OjRlxJD6f922ecVLUtV45K7t7e32oEufWNKpZK6dOkiqQ4/Pz+15Q4dOgjPpdRR\nNmmp7lyp/zze3t6kVCorrKOy72Pp0qXC84CAAEl1+Pv7qy2/8847wnPV/aKJIT507du3F54PGzaM\nPv74Y2FZ6heEIfanvsfVy8tLeD527FhasWKFxrqlSklJoX79+pG/vz/t2bNHUhlD7E/V9zJ58mRa\nuHBhhfVr4urqWql1ZembWIlKcsMnn3xCrVq1onfeeYfeffdd4aGL06dPU+PGjcnDw4M8PT2pXbt2\n5OnpWS0xGOIkqizRrpDVTalUwszsf2GVjiQpk8nUmmu0Kdt8o9pm9ffff4uWL9tmmJSUJDy/f/++\npBiKioogk8mE5W3btgnPHz9+LKmOstvNnTsXQMk+khrHo0eP1JZVm1IqajMtS/U9qD6vaFkTExMT\n/PXXX2jatCmSkpIwb948YV1+fr6kOgyxP/U9rkSEvLw81KtXD0lJSWo/l3VtZz5y5AgWL16M58+f\nY968eejTp4/ksobYn8XFxSgqKoKZmRmSkpLw+eefC+ukNE9YW1vj1KlT+M9//qP2+u+//45mzZpJ\nfCdAw4YNsW7dOpw5cwY9e/aEnZ0dTExMQESQyWS4cOGCaB0PHz4U/q6fnx9MTHRvbT506BCmTp2K\n8ePH45133tG5Dn1jyMrKwpQpU0BEwnOg5DNX2SFbalxyLygoQG5uLho2bAgACAoKAgA8efJE8j9Q\nixYtcPLkSXTo0EHt9ZSUFLRo0UK0fMOGDfHnn3/CxcUFAGBhYQGg5KJHaVxiTExMcPfuXdja2gIA\n2rVrB6BkHB6pBz4oKAjz58/HkiVL1F5fsGCBsF/EdOjQAZs2bcKECRPUXo+JiSn3j1mR1NRUeHl5\ngYhw48YNeHl5ASj50N28eVNSDIsWLYK/vz+Ki4sRHBwMDw8PACUJrlWrVpLqMMT+1Pe4Tps2Dd7e\n3mjUqBHc3Nzg7+8PADh79iyaN28uKYaDBw9i6dKlqF27NubPn4/AwEBJ5VQZYn8OGzYM3bp1g5WV\nFerWrYtXXnkFAJCWlobGjRuLll+9ejWGDBmCMWPGwM/PDwBw+vRpxMbGIj4+Xqf3o09i/eyzz7B6\n9WrMmjULmzdvlnzCoSokJARZWVnYsWMHPD09dS5viBhUr62Vfq40LUtWqfP9KrRmzRrq06cPpaen\nC6/dvn2b+vTpQ6tXr5ZUx8mTJ8nJyYkiIiLo+++/p++//54WLlxITk5OdPLkSdHyBw4cIGdnZ9q6\ndStduHCBLly4QFu2bCFnZ2fav3+/pBi2bdtG/v7+dOTIEcrJyaGcnBxKTk4mf39/io2NlVRHXl4e\nhYSEUOvWrWnAgAE0YMAAat26NQ0dOpRyc3Ml1ZGdnU2dOnWiwMBAeu+99+i9996jbt26UceOHenu\n3bui5W/fvq31IVVhYWG59sinT59Kfh+G2J+GOK5ZWVn0xx9/UHFxsfDanTt31D6v2shkMnJwcKA3\n33yT3nrrrXIPqSran3l5eZL3Z2FhIZ04cYL27NlDeXl5wuvXrl2jM2fOSKrj7t27tGDBAuGz+eGH\nH1J2drbk90BENHToUOrSpQtduHBBp3KlRowYofPfLGvTpk16lTdEDPn5+fT333+Xe/3vv/+m/Pz8\nStVZ45I7EdGnn35K9vb2ZGFhQU2bNiUHBwf65JNPdKrj7t279OGHH6p98KQks1IXL16kkSNHkq+v\nL/n6+tKoUaPo4sWLOsVw4MABeuWVV8jCwoIsLCzo1VdflZxEVN24cUP4kkpLS9O5PBFRUlISrV+/\nntavX09JSUmSy12/fp1+/fXXcq//+uuvkmPZtm1bhQk4NjaWtm/fLjkWQ+xPfY7rtm3bhOdl98mG\nDRsk1fHLL79ofUih2uHgm2++UVv3wQcfSKqjsu24hqZvYi0sLFT7Qjtx4gQdOXJEOAmQIjMzk44d\nOyYsr1mzhiIjIykyMpKuX79eLTFMmDCBdu/eXe71PXv20KRJkyTVUVaNvkO1tO1calOIsVEddK0i\nDg4OVR5Dv379sHz58nI/Vy9evIi5c+di3759onV06NABSUlJaNCggdrrT58+xauvvoozZ84YNOaq\n4uvrK3Q1VH1e0bKYgoICoVmrVatWqFWrVrXG4ePjg7Nnz0r+m2V5enpW2PxAOrSVAyVtzbdv30bX\nrl0BlHRPLb22Nnz4cLRp00Zr+ZkzZ8La2hrvv/8+AKBly5Zo164dnj9/Dl9fX0mzvw0bNgwjRoxA\nv379AABt27ZFWFgYnj17htTUVGzfvr3KY/Dz89P4f+Dh4YHLly+L1lFWjWtzLx2ATJPSSUG06d69\nu8Z2L5lMpnYhrSJjx47VWn7z5s2iMSxatEjjOplMhg8//FC0jtdffx0ymUxtxEyZTIZ79+7h77//\nlnTzRMOGDSt8L0VFRSgoKBC9eJadnV1hO6Snp6fkPsqFhYXlEjsA1K9fH4WFhZLqMMT+1Pe4qh6H\nsudEUs+RiouL8eGHH+Lzzz+HXC4HEeHOnTsICwvDokWL1DoTVGUc9+7dw9q1azWuf++997SW/+GH\nHyT9HTGzZs3CiBEjhOWYmBghsS5cuFA0sSYlJeH3338Xlps0aYJ9+/aBiITrCGKuXbsmJHYAqFev\nHmbMmAEAkuowRAzPnj3TuE6pVEqqo6wal9xVd5Kq77//HgqFQlJy/+ijj8q9lpKSglWrVsHa2lq0\nvOqBLpWZmYl169ZJvhutfv365V57+vQpNm/ejAcPHkhKRhcvXlRbvn37NlauXIlffvlF6DkjpmzP\noby8PGzcuBExMTF46623RMtr64kitWdGfn4+nj59Wm6f5ObmoqCgQFIdhtif+h5XQ/Qcmj17Nu7f\nv48bN24IFy4fP36MGTNmYNasWVi3bl21xFF6s2Blf7g7OjpqXLdz506t61Xpm1gN0btO315UhojB\nUL2P1FSqMaeaKJVK2rZtG7Vr146GDBlC58+f17mO5ORk6tmzJ3Xp0qXS7d2hoaHk7OxMn3zyCb14\n8ULnOnJycmjx4sXk5ORE77//vs4XX/78808aPXo0ubq60qZNm4QbWHTx6NEjWrhwIbVs2ZLmzZun\ndnOUNiEhIfT555+Xe33Tpk00ZMgQSXWsXr2aevfurXYB9tatW9S3b19atWqVtDegQt/9SVS541q3\nbl2h/3Pp89LlevXqSfq7bdq0UbsYW6qwsJDatGkjqQ4TExNq2LAhNWjQgExNTalhw4bCspmZmaQ6\n9G1zz8vLozVr1tDkyZNp48aNVFxcTHv27CE3NzcKDg6WXI+bm5vacumNVUTS+su7urpW2K79+PFj\natu2raQY/vOf/9C1a9fKvX716lVJ95MYIoaTJ0+So6MjLVy4ULi+tmDBAnJycqKUlBRJdZRVI5N7\nYWEhbdq0idq2bUujR4+m1NRUnetITEykrl27Us+ePenQoUM6l7969SqNGDGC3N3dacuWLZW6g+7B\ngwc0b948cnJyooULF+p899rFixcpJCSEPD09adu2bVRUVKRzDPfu3aM5c+ZQy5YtafHixfT48WOd\nyt+9e5c6depE3bp1E3rbvPrqq9SxY0f666+/JNfz6aefkoODg14XyfXdn0T6HVdD9Bxydnau1DpD\nq+xdj6UGDBhAo0ePps8++4wGDhxI//nPf+jVV1+ls2fP6lSPvonVEL3r9O1FZYgYiAzT+0hVjbug\nunHjRkRFRaFnz56YPXs2nJycdK4jICAA9+7dw6xZs8qN0wCUXHTSZvDgwThz5gxmzJiBIUOGwNTU\nVG19af9obWbNmoU9e/YgLCwM77zzToVtzmJMTU1hb2+P119/vVwMALB+/XrROurXr49mzZph7Nix\nFV6YFmtbLXX48GFcunQJQMkFnh49ekgqV1ZlL5IbYn/qe1zT0tKQnZ2NLl26qL1+/Phx2NraonXr\n1qIx9O/fH0OHDlUbSwQA4uLisGPHDkkXqMtSKBRCs1KLFi0ktds/fPiwwvf79OlTREdHY/bs2VrL\ne3l5CRdNi4uL0bx5c2RkZKBOnTo6xZ6YmIgpU6Zg3rx5wv/lmTNnsGzZMkRFRUm6ueuzzz7DsmXL\n8PTpUxARGjZsiDlz5uDtt9+WHMelS5ewatUq4cKlh4cH3n//feF+iuqIwdBqXHI3MTGBtbU1mjVr\nptZ+SDpchQ8MDNR64ezQoUNayzs5OQnlK7qgKeXmHRMTE9SuXRtmZmYVvo+cnBzROrZu3aq1DXX0\n6NGidURERGitY+HChaJ16EvbhTtA2heMIfanvsfVED2HsrKy0L9/fzRt2lTt5p/Hjx9j7969ahPK\na7J8+XIUFhZiwYIFAEp6TTVu3BiFhYUYPXo0PvjgA9E6/vrrLyxfvhw3btyAh4cHFixYgE2bNmHN\nmjUYOHAgoqKitJbXt7eQKn0TaylD9K4rbSOvzMmDPjHo2wmkwnI1LbmrjrpXEakXaphh6NvbBgAi\nIyO1rq+OLxhDCAgI0HjB39PTs9wFcG1++uknIZm5u7sjKChI8sVQX19fHDt2TLjIXNqtsbi4GN26\ndVMb+VKT1157DV26dEGnTp2QmJiIvXv3omPHjli3bp1wF7A2pqamqF+/vvAFmZ+fj3r16un0ZVtW\nZRPrpUuXsHr1arUvh5kzZ+p0t+knn3yCFStW4OnTp0IMs2fPljwio74xVNQNUrUTiKbPnTY1Lrkb\nwp49e7SuHzBggNb1YmcgYs06AESHTZXStPPGG29o/YdXHdZYk9IxKjSR0rSjqmxvmzVr1uhUvrIM\nsT/1Pa7Ozs5qww6ratOmjaRhg8WSXqNGjUTrKHuWvHXrVowZMwaA9v7Sqry9vXHu3Dlh2c7ODhkZ\nGZUal0Vf+iTWhIQEzJw5Ex988IFwm/7p06exfPlyfPTRR+jfv79oHUuWLMFvv/2G6OhoYfiGmzdv\nYurUqejQoQPmz59f5TGo0mfcIVU1LrlrOlPU5Yxg7NixGtfJZDJ8+eWXWst3795da3mxZh2g5EaG\nsj/9VeuQ0rRz5MgRreu7desmWsdXX32ldb2Uph2gpLvexx9/jNjYWAwfPhzTp0+HpaWlpLKbNm1C\nYGAgnJ2dQUQIDQ3F7t274ejoiK+++go+Pj6idRhif+p7XIcNG4YePXqUG6fniy++wM8//4ydO3eK\nxmBvb6/18y124xoAuLi44PLlyzA3N1d7/cWLF2jXrp3GLyBV7du3R3JysrA/u3fvrrYs5csSKLkW\nU3q22q5dO53HytE3sbZv3x4JCQnlrs3dvn0b/fv3x/nz50VjaNu2Lc6fP1/uekF+fj7at2+PP//8\ns8pjAErGHVqyZAlq166NefPmaf28SlHjkjuTpqI+sbrKysqCnZ2d1m3u37+PNWvWYOfOnRg3bhze\nffddSQNLqWrXrh3Onj0Lc3Nz7NixA2vWrMFPP/2Es2fPIjIyssJJH2qi7OxsvPXWW6hVq5Zae3lB\nQQG+++47Sc0ZUva5mLlz5+Lu3buIjo5GvXr1AJRcCA0PD4etrS2WL18uWoeTk5Mw+mJZUr4sFQoF\nBgwYgDp16gj74syZM8jPz8d3330HuVwu6b3om1i13b3p7u6OK1euiMbg6uqqNhOS1HWGjEHfTiAV\nqnQ/m2qWl5enNn62FH///bfaGODbt28nDw+PSsdw4sQJ6t27d6XLExFlZGRIHitCqVTS7t27adWq\nVfTjjz8SUcmY06+99ppOXdnOnDlD33zzDV26dImISsbSmDBhAjk4OIiWrVevHjk6OlJERAStWbOm\n3EMKQ4w/roku+1MTXY/roUOHKjVOD5FhxnQpKiqi2bNnk6WlpTBGjpWVFc2ePbvSk17o6s0331Sb\nPKXUV199pVM/d239wKX0Effy8qpw0Lbbt29LHou9R48eFY7rk5SURIGBgdUSQ7du3SgwMLDCR/fu\n3SXVUVaNS+537tyh8PBw6tu3L82aNYtyc3Np7dq1JJfLacqUKZLq2L17N1laWpKtrS3J5XJKSEgg\nHx8fevPNNyWNeHf06FHhxpSAgAA6ffo0BQcHk6+vb4WD+1TkypUr1K9fP3J3d6fBgwdTZmYmTZky\nhRwcHGjt2rWS6hg/fjz16NGD5syZQ506daIBAwaQh4cHfffdd5LKExHNmzePXF1dhdEl33vvPXJy\ncqKPP/5Y0mhzCxcupIiICI0PKXx8fOjOnTuUn59P1tbWwpcMkfSJHQyxP/U9rg8ePND6kELf/uWq\nnj17JvTLfvbsGRFRpW5wK5WWlkaLFi2SNJOSi4tLpdaVpW9i/e6778jZ2Zm2bNki7Isvv/ySXFxc\nJP+fXLp0iVq3bk2jR48WvrRHjRpFrVu3VvusVmUMVaHGJfdevXrRwoULKTExkaZNm0ZOTk4UEhKi\n0w0znp6ewmhuZ86cITMzM7Xp1cT4+vrS4cOH6fnz5/Tdd99RnTp1KDo6Wqf30alTJ9qyZQulpqbS\nunXrqGnTpjRr1iydhu9s166dcDdjfn4+NW7cWPKdpaXc3d2Fv/nw4UOqX78+3bp1S6c69LVv3z5q\n0aIF2djY0Pjx44XXk5OTqW/fvpLqMMT+1Pe4Ojk5CY+WLVsKj9JlKZo1a0bTp0/X+KgMpVJJv/zy\nC40bN46sra11KqtQKGjNmjXk7+9PtWvXpoiICEnD72q6m7a4uJhat24t+e/rm1iJiM6dO6c20ufI\nkSPp3LlzkmMgKvn/2rx5s3Cj3hdffKHTZ0vfGAwx0mdZNS65l53iSy6XV3i7tjZlf/rq2hRTtrwu\nZyKlyr4Pqf/82uKozE96bVPLSTF48GDhedk5bF977TVJdTx58kTv8cerYn9W5rjqy8HBgb744guN\nD12cOHGC3n33XbK3t6f69evT1q1bJd+1GxMTQ4GBgeTu7k4LFiygCxcukJOTk+S/PXXqVBo/frza\nWPB5eXk0YcIEnae30zexajJjxgy96+jcuXO1xPCvmGaPiPDo0SPhQo+lpSWePHmi01X8v//+W+3G\nmcePH6sti9008/jxY7XulEVFRWrLYl0pgZLBiM6ePSvEXbt2bbVlKRdISmdBAqA2ExLpcEPXzZs3\nERwcLNRx69YtYRkQ706p2vPi559/Vhu+VMo0fUBJP+ylS5ciJCRE7fWKBgPTxBD7U9/j6u7ujhEj\nRmDYsGGSZzwqy9LSEqGhoZUqW2ru3LnYvXs3WrVqhSFDhiAiIgJ+fn6Sez4BQHh4OHr37o2oqCjh\nM6bLDEKrV6/GBx98AEdHR+Hek4yMDIwePRrLli3T6f3UqVMH48aNK/d6ly5dcPz4cZ3qUvXNN99U\nOIigLqT0XjJEDKRyYZvKXOQuuyxVjesto+9VfED/m2bGjBmj9W4xsa6UgP53yQKGuaFL3+6Uhhg7\nPD09HdOmTUNeXh4+/fRT0TG6K2KI/anvcT1//jzi4+PxzTffwNLSEsOGDcPQoUMlTd1YStuNUFJZ\nW1vD19cXkydPRu/evVGrVi20atVK8rSHAPDgwQN8++23iIuLw7179zBo0CBs2bIFmZmZksqnpKSg\nY8eOyM/PF/r3t27dWui9Ywj29vaS46mK8kDJ3b/6JHipMRhyroBSNS65s/9JTU2Fq6srgJI+zLVr\n1xbWlf5zicnJydF4Y0xGRobohB+urq6Ii4uDUqnE//3f/2HHjh2gkuY8/N///R+uXr0q+f0cOHAA\nY8aMQUBAgNrNMlJuxqppUlJSsHPnTuzevRutW7fG8OHDy/V/l+r27duIi4tDfHy8pD7RxcXF+Pnn\nnxEXF4fDhw8jMDAQP//8MzIzMyWNK1NWVlYWdu7cibi4ODx9+hRvvfWW6Nm3PsMNSCUlsWq6uY2I\n0L59e2RlZYn+HU03PRIRJk2aJPoL1RAxqN7xW3q3b2kdz58/lzzvQdkAahRDTGWmbzvx1KlTheeq\n3faIiEaPHi0pBkNPhVbZdjjV7Xr06KFzHdq6aEnpzVAqNTWVevToQQMHDqRDhw5RcnKy8JDCEPvT\nEMe1rMOHD5O3tzfVqlVLp3J3796l9evXU8eOHal27do0f/58+uOPP3T++8+fP6ddu3bRwIEDydra\nmoYNG6ZzHaquXbtGkZGRotsZapq+3bt3V/jYtWsXWVlZiZYvvZiterFb9aK3FGPGjNH6qI4YqkKN\nS+6GSGiqFw0rc0HR0EnVEO+jbNxSL4waog59zZ49m1xdXSs1nn6pmnJMiIhOnTpF06dPJwcHB+rW\nrRt9+umnknsxbd68mXr16kWurq40d+5c+uOPP3S6kKnNkydP6KuvvjJIXWIaN25Mb7zxhsaHVPom\nVmNhiG62ZdXIC6oVPa9oWRNtF4akXDTSFoNUhn4flZ1xR9869B2nBwDMzMxw9uxZnYeDVWWI/anv\ncZ07dy527twJCwsLhISE4Pjx4zrfbTpx4kT06dMHu3fvhru7OwDdLmQC5UfZlMlksLKyQteuXSXN\nVGYIzZo1E2ZM0seWLVv0rqOgoADbt29XG7Rr+PDhas2YYvQd+EvfGPz8/PQeXqOsGpfcDZHQnj17\nhrNnz0KpVCI/P1/oVUH/bc8So1Qq8ejRIyiVSuF56U6XOs2eId5HVlYWpkyZAiISngMliUmhUEiq\no7TnEBGp9SIiIkm9XbQNYyuTySQldx8fH+zfv1/jeil1GGJ/6ntc69Spg8TERDg7O0v6exVRKBT4\n5ptvMGHCBOTk5GDw4ME6t6eWnToRKGm3X7p0KSIiIsr1SqoKDRo0kDS2kRT6JNYrV64gODgYXbp0\nEYZBSE5OxtKlS5GQkAAPDw/ROlQH/ir9wjp9+jQGDBggaeAvQ8Rw69Yt0W10VeMuqNarVw9t2rQR\nuv6V9qwgIty8eVMYOU4bbT0rgJLBjrQxRI8dQ1wgMcSgXzVhuF3Vgdz27duHN954Q1iW2vvIEPvT\nEMe1IikpKYiMjMSBAwd0Kpeeno74+HjExcWhuLgYb731ltaJwMU8fPgQvXr10utCZ2ZmJpYtW4ZP\nP/1U63YDBgwQ/VUnhb4jKvbs2RNz5szBa6+9pvb6L7/8gqVLl4r+rwP6D/xliBgOHjyI3NxcDBo0\nSO313bt3o1GjRuXqlqRSjTlVyBBTmf0bVNcYImvWrKnw5povvviC1q1bp3N91dXOXxWOHTum97AU\nmly5coU+/PBDvWOUun81Defg6OgoaTgHQ91R6eXlVeEd07du3SIvLy/R8trGn5E6tIW24RbKzvFa\nVTF07tyZ/v7773Kv37t3jzp27CipjrKqf/BmEfn5+cKNEba2tsJzR0dH/PXXX5LqWLVqlfD822+/\nVVs3d+5c0fJff/218LzsTRTR0dGSYlDtd132J5fUM56uXbsKz0eOHKm2TuqIkEOGDBGel506LSgo\nSLT89u3bK2zHHTlypKQz7rJ0bV8uZYj9qe9xnTp1KjZs2ICHDx9i7ty56Nq1K4KCgnDmzBlJTUtA\nyXR6qnGUOnPmjKSf79ocPnwYTZs2lbRtaGgoBg4ciD179qBz587w8vJC7dq1kZqaiunTp4uWj4+P\nF56XHYUyMTFRcsxFRUUVTqXp5OQk6deYUqnEixcvyr3+/PlzSRPJACXXhCrqcpmeni6pa6khYnjx\n4gWaNWtW7nUrKytJrRUVqtRXQhWqCb0iakIMRPr3+jFEHdrOntq1aycpBlWV7UJXE46JIYYv+M9/\n/kM5OTnlXs/JySFfX19JdbRr1448PT3VHnK5nAICAujq1auS6tB3OAdD9cLSd0TFxYsX0+uvv672\nq/7WrVv0xhtvSOrSSaT/wF+GiMHZ2bnCX+MFBQUax/ERU+MuqFIV94qQUkdNiAHQv9ePIepQKpXI\nzqLGL9oAACAASURBVM6GjY2N2uvZ2dmS/j7wvxml6L/XTVSHPwCk3cRUE46JIYalKCwsrHB+zYYN\nG0q+sPrDDz+oLctkMlhaWlbrcA6GuMANlFwT6tWrF+bOnas2Rv6KFSvUhrrQZP78+YiOjsYrr7yC\nZ8+egYjQoEEDzJw5E++++66kGN588020bNkSa9aswYYNGwCUDDXxzTffoH379tUSw4ABAzBhwgRE\nR0cLxzEvLw9Tp06V/KuwrBqX3GtC97+aEANQkky+++47KJVKtcRCRHjy5ImkOvTtOTRr1iy8/vrr\nWLNmjdrs9LNmzcLMmTMlxaC6ndQyZdWEY/Lqq6+q9R5SXZbac+jZs2d49uxZudv08/LyKvxpX5Gy\nw04oFAo8ePAADx48QIsWLSQ1Jdja2qqNsaS6LGU4h/Pnz6NRo0bC56j0Lmj67wVuqfRNrEDJODnh\n4eF6TZDdvn17xMbG6lzOUDEsWbIE8+fPF5qgiQiZmZkIDQ3F4sWLKxVTjestY21tjZCQEBARdu7c\nKXTrIiJ88803ks4Y9e1ZYYgeO02aNMGrr74KIsKxY8fw6quvCnX8+uuvePTokWgd2qYLBKT1Eda3\n5xBQMmzAihUrcOnSJQAlMyvNmTNHp7kdz507h7S0NHh4eMDNzU1yuVKG2J+GOK76WrVqFY4cOYKY\nmBihj3xWVhYmT56Mzp07Y86cOaJ1LF++HIWFhViwYAGAktv0GzdujMLCQowePRoffPBBlb6HqlKZ\nCbLL9vkvS2yQQED/uYoNEUMp1bF62rRpg7p160ouW1aNS+6GmvNTHzVhwC5jsmjRInz99dfw8/PD\nyZMn8cEHH+g8Dosh9qe+x3XatGn4+OOPAQBRUVGYOnWqsG7MmDHYunWraAxAycXb5cuXo6ioCESE\nWrVqYfbs2ZJ/wvv6+uLYsWPCz3cfHx+cPXsWxcXF6NatG3799VfROlatWoX3338fQEmng8GDBwvr\n5s6dKzq2jCEmLC+lzwTZql19Y2JiMHHiRLX1Urr6ln62iAgTJkzAF198obZe7LNliBh+//132Nvb\nC1M1xsbGCvMMR0RE6LQ/S9W45M7+R9vPRJlMVq4HTUWOHj2qdX3pGbAmqpNbA8C4ceOED93WrVsl\nDbXr4eGB33//HfXq1cODBw/Qu3dvvUdGfBkMPXJf6a8NqT1cNP2trVu3YsyYMQBK7nQ8c+aMTnVU\n5r2oTlj+119/oUWLFkJ7vS73DOg7Qbaq0i85fehbR2XL+/r64pdffoGFhQWOHj2KkJAQbNiwAefO\nncPVq1exa9cuneuscW3uY8eO1Tos6+bNm0XraNiwYblbeWUyGYqKilBQUCDaPan0g1uK/jt+emk9\nN27cEI2he/fuWt9HUlKSaB2aEuD3338PhUIhKbmvXr26wr9/4cIFZGZmit6ZGRUVJSSOHTt24Pz5\n87h58ybOnj2LqVOnSprcunbt2kLTmKWlJZRKpWiZsgyxP/U9rtouyEq1fv16teXSoQO6dOkiOkJn\nqby8PBQWFsLc3BwAhOPz4sUL5OTkSKpD34vLqt1R9UmI27ZtKzdBdqtWrYQ2d12Se2W72RqyjsqW\nLy4uFs7Od+7cibCwMAwcOBADBw6Et7d3peqsccm9X79+5V7LzMzEunXrJN/6X/b27Ly8PGzcuBEx\nMTF46623RMufPn1abVmpVAqD7vv4+EiKoaIB+lNSUrBq1SpYW1tLqqP0AhNQ8g+3fft2rFy5Eh07\ndsS8efMk1VF2+IDjx49jyZIlsLW1VatfEzMzMyGJ/PDDDxg1ahQsLS3Rq1cv4We9mLIThty4cUOn\nCUMAw+xPfY+rIYalqGjIh9TUVCxcuBBLly5Vax7RZNCgQZg4cSKio6OFL82nT58iPDy83B2Omhiq\nt0tlti9btqIxh+rWras2LHRVUm1iKi4uVjuugG5NTJVVXFyMoqIimJmZISkpCZ9//rmwTmpf+XIq\n1YGymty4cYNCQ0PJ2dmZPvnkE3rx4oVO5R89ekQLFy6kli1b0rx583Sef7S4uJi2bt1KHh4eNGLE\nCLp8+bJO5UslJydTz549qUuXLjqPjFhYWEibNm2itm3b0ujRoyk1NbVSMfzyyy/C8L0//fST5HKG\nmNxadXjfih660md/ElX+uDo6OlbZ0K7379+X3F+/qKiIZs+eTZaWluTr60s+Pj5kZWVFs2fPlnzn\nsomJCTVs2JAaNGhApqam1LBhQ2HZzMxMp9j1Gf5X3wmyVfv8161bV3he+roU+g7Za4gYlixZQp07\nd6bg4GDy9vYmpVJJRETXr1+v9FR/NTK5X716lUaMGEHu7u60ZcsWnW+1v3fvHs2ZM4datmxJixcv\npsePH+tUvqCggD777DNq27YthYaGCpNt6yoxMZG6du1KPXv2pEOHDulcPjo6mpydnWnSpEmVntT6\nhx9+oE6dOlHv3r3p2LFjOpc3xOTWpfLz8+nixYt08eLFSs2Rqe/+NNRxrSq6Ds3w7Nkz4aabZ8+e\n6VS2oKBAp+3LWrNmjfCQy+Vqy2vWrJFcz+XLl/WaILsmDFdiqBhOnDhBe/bsUZuX9tq1a3TmzJlK\nxVXjLqgOHjwYZ86cwYwZMzBkyBCYmpqqrZfyE6l+/fpo1qwZxo4dW2F/U7GuSXZ2djAzM8O0adMq\nbAeV0p85ICAA9+7dw6xZs9CpU6dy66VciDQxMYG1tTWaNWtWYVuxlDlUTUxMYGdnh/bt21f481lK\nk0hRURFyc3PVLvw9ffpUuFlDSvm5c+fiyy+/VOvDO3bsWCxdulRo9tHGEPtT3+Oanp6OJk2aoHHj\nxgBKupHu3bsXTk5OeOedd1CrVi3RGDQ5evQoFixYgOTkZEnbaiN2kRzQfyYlQw1Id/DgQbzyyiuI\nj48XRoUsnat23759os1UaWlpyM7ORpcuXdReP378OGxtbdG6dWtJMegzaJchYqgKNS65Ozk5qV3k\nojIXRaVchY+IiNDaDshzqP5PdXTJnD59OnJzc7Fu3TrhyzYnJwczZ85E3bp1ERUVJVpHTZhDtUOH\nDvjuu+/QokULnDt3Dr169cIHH3yACxcuwNzcvFwXuor4+PiUi+Hhw4ewsLDA119/LYzxro3qqJqq\n8Uu9SF4ah749SzSp6CYtTUxNTdGtWzfExsaWGxtfyhdQv379sHz58nLDA1+8eBFz587VOmR1qS5d\numDv3r3lxna5f/8+3njjDZw4caLKY6gKNS65M+Pj7OyMP//8s1xSKy4uhqurK65fv/6SItONl5eX\n8Gtp5syZMDExwapVq6BUKuHt7S3pl1TZHjmlQweU/hqojNKL5I8ePcK8efMqTP5l2dnZaf0FK+XG\nm3v37uH27dto3bo1LCws8PTpU0RFReGzzz6TPKm0j48PJk+ejMWLF2Pt2rVqZ89SvoC0TTju6emJ\nixcvisbg7+9f7mJ7KdVjXpUxVIUa11tG7Jtays/v0kktNCnbHa0sQ9xxZogZjEq7dJZV2iwjpdub\np6en1l8xUhKSJnfu3EGLFi1Et5PJZBXGYGpqKrmnhSH2p77HVfU86NChQ8JoiLr06ij9iX716lWk\npqYCANzc3CqV3JOSkrB48WLIZDLMnTtXpzG/i4uLkZeXV+kunZ988gkiIyPRqlUr3Lp1C/PmzcPH\nH3+M4OBgnDx5UnI9MpkMEyZMQLdu3TBixAj8+OOP2LhxI+rVqyfps/H48WON66QMrwGU/Ios7ami\nqrCwUFIdhojh7bffxsqVKzVOZl8ZNS65a5u6S+rP79IBiCqropludGWIGYwMEUfZQaYMqWPHjpLO\n0Nzd3RH7/+ydd1wUx/vHP2BBTSyJijGKFAEREBBULKhojA2jgoJiIhasUWIDG1YEK6LG+BULajRy\np0gzNiyoEQuKgh0REEtEQUApAaTM7w9+t7k7rszeLnAa3q/XveB2d+bmdvdmZ555ns9z8GAl6eA/\n/vgDJiYmVJ+lDuezf//+cHFxQevWrZGTk4P+/fsDANLT06nt7bm5uXByckJycjI6deoEQggePHgA\nIyMjhIWFUWmSnDx5En5+fmjatCl8fX0lpKFpad26NSNfoAo7duzA48eP8fXXX+PFixcwNjbG1atX\nVf7tGRsb4/r161i2bBk6d+5MrfPSpUsX7Nmzp1LE8969e6nbwlW0i482GBgYwMbGBqtXr8a4ceOo\nyiij1izzCfH3338z9lRagaiqREdHBy9fvlR63N9//w0nJyc0bNhQQvmvsLAQ4eHhaNOmTVU3lRfI\n/+sdpaenw8XFhWl3fHw8MjIyMGjQIKV1zJkzB5qamvD392ecBUpLS7Fo0SKUlpZSrT/wsUjO1eYu\nbQ+3tLRUmrGIth2XLl3C5MmTkZmZqfSB/PbtWzg6OqJ+/foS99bHjx8RHh7OhPMrorS0FMuWLcPe\nvXuZdawXL14wol3KFvz5aANQ8TuZP38+3r17h5kzZ0rMCFVRhlS7zj03Nxdv375lwt1DQkKYqc2g\nQYMqSc/KIiYmBqmpqcxIcfTo0UygwrJly5gRlzwePnwoEWgzb948RoVx9uzZVKahV69eIS0tjRlV\nBQQEMMJI48aNY0SrFMGHQFRQUBCys7Ph5eUFAGjTpg3y8vJACMGmTZswY8YMpXXIo127dtS2VaDC\nlCHuEfHdd99Rl+XjfPJxXbliamqKe/fuVXowf/z4EZaWlnj8+LHSOvhYJBct4opTUFCAsLAwCIVC\nnDx5UmF5kcCfCKFQKPFemelTREREBEaOHFlpe05ODnbt2kUlpAZUeC6JhO3MzMyU/sbFyc3NRZMm\nTTiLdnFpg4iDBw/C29sb/fv3Zzp3WieOSqjkQFmFTJ06lezfv5953759ezJ79mzi7u5Opk+fTlVH\n//79JQJTzM3NSVxcHLl8+TIZNGiQ0vLDhg0jV69eZd537NiRHDt2jBw8eJCMGDGCqg1jx44lf/75\nJ/Pe2NiY+Pv7Ex8fHzJu3DiqOjp37izh8yrygy4tLSW9evWiqqNLly4SwVuiOgoLC0mfPn2Ulp89\nezbx8PCo9Jo9ezZp3LgxVRvkkZ+fT9avX091LB/nk4/ryhXpJBm0+2h48eIF2bhxI6syxcXFJCws\njIwePZo0btyYTJw4kRw/flxpuQMHDih8VRdDhgxROQZEhIGBAREIBDXahgcPHpDevXuTMWPGkNev\nX3OqS4Tade7i0Vmi9yLYdGjiODo6Mv/TRHvZ2NhIvLe1tWXdBkVZj+zs7FSqQ/yhR5u1R/q7+Pn5\nMf937dpVaXk+fsSvX78ms2fPJkOHDiVeXl4kLy+PBAQEkDZt2pBffvmFqg4+zicf15UrHTp0IPfu\n3SN3796VeCUkJFBH/IqTkZFBduzYQezs7IiBgQFZsGABVbmoqCgyceJEoqOjQ9zc3Miff/5JdHV1\nWX9+TXP06FFiZGREfH19VQ7MSktLIyNHjiQDBgxQKbCNjzaYmJiQM2fOqFRWHmq3oFpaWiphRzx0\n6BDzv6JVaXGkjxP3tKDRg5e28924cYP5PyMjg6oN0gkLxIWt3r17R1UHHwJR0udClEO2vLycqh3y\nJJaLioqo/Xfd3NzQq1cvDBs2DGfOnEGnTp3QvXt3xMXFUdsj+TiffFxXESKNGFl5LxXRokULuVK2\nLVq0oKojLy8PYWFhCA4ORkpKCkaOHIlnz57h1atX1O0YPHgwhg0bhtjYWLRu3RqAci8zdcTZ2RlD\nhgzBmjVr0KVLF4wfP17CVk3j2aarq4vw8HCcPn0avXr1QteuXSXqULaGwUcbEhISoKWlJXPfkSNH\nMGbMGKV1SKN2nbumpibevHnD/OjNzc0BVCw20LqcmZiY4OTJk3BwcJDYfuLECXTo0EFp+W+//Rax\nsbGwtbWV2H7jxg0q1z+gwo0xKSkJxsbGAP6NrE1MTKTO0sKHQNTAgQOxbNky+Pr6SmxfsWIFVYJs\nccrKyhAVFQWBQICzZ8+id+/eVEJXmZmZWLVqFYCKdZOQkBAcPnyYlQshH+eT63UlhGD16tX47bff\nUF5eDkII6tatCw8PD2rPExqtdWVoa2vj+++/h4+PD/NdaJOEi7hz5w6EQiH69OmD9u3bw8XFhVr8\nTN2oX78+vvjiCxQXFyMvL08lwbEnT57A398fvXv3xqxZs1jXwbUNpaWl2LFjB1JSUmBmZoYZM2Yg\nMjIS3t7eMDIyUqlzVzuzzKFDh0iXLl3I5cuXSW5uLsnNzSWXLl0iXbp0IQcPHqSq4+nTp8TY2JhM\nnDiR0auYMGECMTIyIk+ePFFaPjY2lujp6ZFVq1aR48ePk+PHj5OVK1cSPT09EhsbS9WG06dPEyMj\nI3LgwAFG/2P//v3EyMiIWuyKD4Go/Px8MnbsWNK+fXvi5OREnJycSPv27cmYMWNIXl4eVR2XLl0i\n06ZNIzo6OmTUqFGkVatWpKCggKosIRVJkLOzs0lWVhbJysqq9J4GPs4n1+u6efNmMmDAAJKamsps\nS0lJIQMHDiQBAQFUbfD392f+Dw0Nldi3bNkyqjq2bNlCbG1tibW1NVm/fj1JSUnhJFx29epVMnv2\nbNK6dWsyePBgsmvXLpXrqm5Onz5NOnbsSBYtWsTqnhRn0aJFxMTEhJw+fbrG2uDk5EQmTJhAAgMD\nyahRo0i3bt1Inz59SHx8vEr1EaKGNndCKk5W7969yddff02+/vpr0qdPH9bqf0VFRSQoKIjMnz+f\nzJ8/nwQFBbESq3rz5g1Zvnw50yEuX76cvHnzhlUb7t+/T8aPH0+sra2JtbU1cXNzI/fv32dVByHc\nBKJEpKSkMB1acnIydbk2bdqQ77//ngiFQmZxV09Pj9Vn86WmyMf55HJdraysSGZmZqXtGRkZ1KJf\n4msH0usIbNUVU1JSiJ+fHzE3NydaWlpk/fr1VIMXeZSVlZGoqCgyefJkquOjo6OJo6MjMTU1Jaam\npmTUqFHk4sWLKn++KtjZ2VEJjCnC29tbJSE7Ptsgrh5ZWlpKWrZsyalNhKhp515LBZcvX1b4ouH5\n8+cKX8qYM2cOMTAwII6OjkQoFJKCggLWo8TqUueraszMzFTaJ474Q0D6gcBWFVKc+/fvk6VLl5L2\n7dtTHX/o0CHm/5iYGIl927dvV1r+xIkTRE9Pj+zbt48kJCSQ+Ph4EhQURPT19cnJkyfZNZ4DeXl5\nEouYiYmJJCAgoNKsSBE3b94k6enpzPvff/+dDB8+nHh4eFDNLPloA9cHvSzUzs/dx8dH7j4NDQ0s\nX75caR3SGXek61CWcYePrD98ZJTiQyBKJD9ApATYMjMzkZGRQVUHIQSXLl2CQCDAqVOn8OHDBwQF\nBWHo0KFUqpBcFQgBfs4n1+uq6HvQfke+U/VJ07NnT1y7dq3K22Fvb49t27bB0tJSYvu9e/fg4eGh\n1BefL/r06YOgoCAYGRkhOTkZ3bp1w48//ohHjx6hW7dujESEIrimuOOjDXXq1GGiYwkhKCwsRKNG\njVhJjUijdguqoi8oTkFBAYKCgpCVlUXVuXPNuMNH1h8+MkpxzaIEoJJoUVpaGjZs2IDz588znjPK\n0NDQQL9+/dCvXz+UlJTgzJkzEAqF+Pnnn6k8VfgYP/BxPrle17t378rU/iCEVPLmUVTH119/DUII\n8vLymIVhQggTlMUFWo8Z8WsifX1ortebN28qdexAhdAWjUcaX+Tk5DABj7///jtcXV2xfft2fPz4\nETY2NlQdK9cUd3y1gXc4j/2rkNzcXLJmzRqip6dHFi5cSN6+fcuqPB+ZlLhm/SGEe0YpVbMoiZOU\nlEQmTJhATExMyJ49ezgnayCEUNv/W7ZsKTMQSvRiC9fzSQg/11UVSktLFb64oqOjQ3UcV9u/ojgL\n2hgMPhC3Vffs2ZOEh4cz7y0sLKjqMDMzYxwUOnToIGHypDG38dEGWeTn55NDhw6xToojQu1G7kBF\naHRAQAAOHz6MCRMm4M6dO6wyxJeUlGDfvn3YsmUL7OzsEBERQRWeLk5UVBR8fX2hpaUFb29v9OvX\nj+3XQGJiInx9fREfHw8vLy8EBgay0oPhQyDqwYMH8PPzw8OHD7Fw4UIEBQVVSoCiCD5UJcU1ZbjA\n9XwC/FxXLrA59/KQ5/ZI/n86T0NiYiIsLCyYnLYWFhZMHTQ5E6Tz4Iq3gaY8X1hYWMDT0xPffvst\nkpOTGfde2pgYAHB1dUXfvn3RokULNGzYEL179wZQkYSDRq2TjzaI+PjxI06ePIng4GBERUVh1KhR\nKkuEqJ3N3cvLC2FhYZg2bRpmzZpFZdOVhmvGHT6y/vCRUYoPgag6depAR0cHDg4OMjsWZRogfCQM\n4cOWzMf55HpdRRLMRGr9orS0FB8/flQ9kTFLJk2apHD//v37ldbB9bqqQxIYoEJSd9u2bXjz5g0m\nTZrEmIquXbuGlJQUjB8/nqqeGzduID09HQMHDmRMw0lJScjPz1d6X/DRhrNnz0IgEODChQvo168f\nnJ2dMXv2bKSlpVG1XxZq17lrampCS0sLdevWlZlajmZhgWvGHT6y/khnlAL+tWXSZpTi4wd04MAB\nhSNveRGoNNBGznXv3l0iGlQV+DiffFxXcfLz87Fjxw7s2rULjo6O2Lx5M6vytfBDQkICkpOTYWZm\nho4dO7IuX1RUhMDAQEaG2d3dnfWMkGsbNDU1MWzYMOzatYuJGDYwMOA0C1K7zr2WfxGp1cnixYsX\nMmclbJCVoECagoIC7Nq1S27kXGRkpNLPSUtLw1dffVUp96iuri5mz57NKfdoTfD+/Xts3boVBw8e\nxLhx4zBv3jw0b96cVR15eXmMAqGRkZFKM1QucE0Ew4dHGR/4+Pjg8OHDsLa2RmxsLJYsWVJJV10Z\nY8aMQb169dC7d2+cPn0aurq6VNLLfLYhISEBQqEQoaGhTMTw6tWrlc6wFKKytb+KuHDhAvO/eCQg\nIZUj+uQxZ84c5v+tW7dK7JswYYLS8hs2bGD+P3r0qMS+JUuWULWBqx8xIZILW/3795e7TxHiglg/\n/fQT6zr4iJzr1q0b+fvvvwkhhMTHx5PmzZsTf39/4ubmRtzd3anq4ON8cr2umZmZZPHixURfX5+s\nWbOGvH//nupzxSkuLibu7u6kcePGpFOnTsTMzIw0bdqUTJ06lZdFblVQxb8+Li6u0uu3334j7dq1\nqyTcV5WYmpoyUaHv3r1T6bPNzc2Z/0tKSlj7mPPRBnH4ihhWu86djwg+rnWoQxsI4SfgRfw4RcqK\n8uAjck68jgULFhAvLy9CSIU3k/g+RajDNWnUqBHR1dUlq1atIps3b670omHFihVkzJgx5MOHD8y2\n9+/fk3HjxpEVK1ZQ1cE3XANmasrziJDKbVfFU4drABEfbZAF24hhadTOW4Zw9L9VVoc6tIG2DvFp\nr/QUmDb3qKLjaOoQN9vUqVMHbdu2RYMGDag+W4T491U196g6XBMvLy/mnEkrTLLJBXv9+nUJM0zT\npk0RGBiInj17YvXq1Urr+OuvvxTu79OnD1VbuFLTnkcAkJqaynjtkP/3/BH34qFxOhCPXyD/73HU\npEkTahMVH22QhaamJjp27Kiy2VLtOnc+OrTy8nLk5OSgvLyc+V/046UJFuC7U1W1joyMDAQEBIAQ\nwvwPVNxAIslZZbx//x7h4eEoLy/H+/fvGTc6QgiThUgRXG98gJ/co+pwTUTKlrK4desWVRsAyLSv\ny7OBy2LTpk2VtrGNXBZ3pxS/L0So4lEmHeVaHUiv+Xh6erKug2sAER9tePz4MRYuXIjU1FSYmZkh\nICAAmzZtQmRkJObMmaNSu9RuQbVZs2bo06cPCCG4cuUKMwohhCAmJgY5OTlK69DT04OmpqbM0RiN\nZ4UoFFjUmYnkdsn/RyKWlJQobUOjRo1gaGjIPMlFfvbk//2ACwoKlNahbBS3cuVKpXXw4TbHFaIg\n92hmZiaV9DAf55OP6yrOo0ePIBAIIBAI0KxZs0qR0bKwtLRETEyMzHuzd+/eKuUhFUUu5+TkwNvb\nW6ZshTSK7gu2HmWy3EPZeh791+nZsyemTZuGHj164PTp0/Dx8cGUKVPg4+PDeqYsQu06d3Xxn+UK\nH/7h6kpBQQHCw8MhEAiU5tpUxJUrVyAUCrFjxw6lx6rL+UxLS2M69Pr16yMtLQ1xcXHQ09OjKt+2\nbVuFAw82OWkvXLiANWvWQENDA0uXLsX3339PXTYsLEylpMs0iCeYqYUOKysrJCQkMO+5ukECamiW\n+VQ6b2V8yp23LPiKnIuPj0dwcDBCQkKgr6+PUaNGUZVTh/PZo0cPfPz4ES4uLoiIiICBgQH09fWp\nO3aAXvtFEXxELvv6+vLauRNCEB0djeDgYJw4caJa9WU+B4qKihAfH8889LW0tCTeq2LmUruRey3q\nBR+Rc0lJSRAIBBAKhdDW1oazszM2bdrEzYe3Bhg5ciQePHiA4cOHY8yYMbC1tVVphFVSUgKhUIiH\nDx8CAMzMzDBmzBjq9Qc+Ipf5iBoGKiI7g4ODERERgezsbOzYsQPDhw9nJRdSVXh6esoUi2NDr169\ncPXqVZ5aJB9Fi9GqmrlqO/dPlNDQUOpRLxf4iJwT1bFjxw7o6OioVIe68OHDB4SFhUEgECA5ORk5\nOTmIiopCt27dqMonJibihx9+QLdu3Ri9ndu3b+PmzZs4fvw4VXQjH6ZL0RqGNKKFcmWaQUuXLkVo\naCgMDAzg4uKCESNGwMbGBs+ePVP62dVFu3btWJm5ZKGjo4OXL18qPCYmJgapqalwc3MDUJEeMzs7\nGwCwbNkyxoGg2lHJgfIThlY1Tx49e/akOk7cj1kamiQZyuD6Pa5fv04GDx6s9Lj4+HiyaNEiYmho\nSAYNGkSCgoJIu3btWH1WeHg4GTNmDNHT0yPTp08nFy5cYJ3NSREuLi6c66C9ruK8ffuWbN++nfTs\n2ZO0bduWqsyAAQNkpnM7c+ZMpUC1qsTU1JSkpaXJfSmjZcuWZNCgQSQyMpJR5eSS6q8qoL0mhqno\nbAAAIABJREFUiqD5nfXv319Ccdbc3JzExcWRy5cvk0GDBlF/VlpaGpPp6/r162TTpk0SCpNsUbuR\nuyylOXFU9RkVQfMk5qO8+LT3u+++kwjH5mNKTNuOmJgYzJw5k3Gx2rlzJ3x8fPDq1St4e3uzsrte\nu3YNAoEAoaGhsLS0hKOjI6ZNm0ZdvqCgAJGRkRAIBIiOjoabmxscHR1ZJ+qWprpGaIp4/vw51bqA\niYkJEhMTWe8TJzIyEq9evcKsWbMAALa2toxr7MaNG6mSp3fu3Bnx8fFKj5NHWVkZzp07B4FAgIsX\nL8Le3h7nzp3Dy5cvWeuycEE0QpaGEAJLS0uqNQ5FKpszZsxQ6nbctWtXCVdYJycnpk5as46Pjw9+\n//13aGhoYOzYsTh//jzs7e0RGxsLS0tLbN26VWkd0qjdgur169eho6MDV1dX2Nra8pLoQRxaX2Ku\n5cXbLX0D8vGdaNsxZ84cbN++nXGxsrOzg7+/P9MxsKFnz57o2bMntm3bhvPnz0MoFLLq3L/44guM\nGzcO48aNQ05ODkJCQrBhwwbOnTsfcL0vaBd8y8rK8PHjx0r29eLiYmp/640bN0IoFEqUvXXrFgoK\nCjBp0iSqzr1Xr15UnyWPOnXqYPDgwRg8eDCKi4tx4sQJ/PPPP2jTpg2+++47BAcHc6qfFhsbm0qu\nmCJoPXakk+KIIytJjDTS0r7iDwvahWWhUIjHjx/jn3/+Qbt27fDmzRs0atQIpaWlVAlDZKF2nfub\nN2+YEUFwcDAcHBzg6uoKMzMz6jpEwT7SEMpsN3zoZfMRdCNPS50QQn3TEEJgb28PoGJBsF27dqw6\ndukZhoaGBlq0aIGBAwdy6pS/+uorTJs2jfrhIG+mQwih9k/n47py5aeffsLo0aPxv//9D23btgVQ\n4UHj4eGBH3/8kaqOjx8/MmsXAGBnZ4fmzZujefPmVP7+APDbb7+xb7wctLS0mMxFubm5iIiI4K1u\nZfBh41cU60HzOzMxMcHJkyfh4OAgsf3EiRPo0KEDVRsaNGiA+vXro379+mjfvj0Tg1G3bt3PJ0JV\nekQgEAhgb2+PlStXYvbs2VR1SIeGi0MT7cX1SQ7wE1164sQJquMUIR19WFpaKvFemVlmwYIFlbZl\nZ2fj48ePEAqFMlOtVQWy2iHCxMSEqg4+ritXVq5cia1bt6Jbt24oKysDIQT16tWDp6cn5s6dS1WH\ndCCfeEdNe29VFU2aNGEWFmuKlJQUBAcHS3gkseH9+/cIDQ1FcHAwHj9+jNevXys8fsuWLXBwcMCx\nY8cYl8Xbt2/j2rVr1L9h0e+UEILc3FzWkeSyUDubO1AxzTx58iQEAgHS0tIwfPhwTJ48mYls5MKt\nW7fQtWtXlcu/ffsWrVq1UnocH9Gl8oiJiYFAIKAK/uEaiSiPuLg4zJ8/X6nOSXXAR9AMzXXds2cP\n7O3tYWRkBEIIJk+ejNDQUOjp6eHAgQOsfZFFnTRbt8Eff/wR9vb2lWRld+3axSQy/6/x+vVrCIVC\nCAQC3L9/H0uWLIGTkxM6depEVb6wsBCRkZEIDg5GQkICMwPp06cPlQZScXExDh8+LOHeOm7cOOro\n0iqJJFd5KbaKGD9+POncuTPx9vYm9+/f56XOhw8fkmXLlpH27dsTGxsb1uVzcnLI3r17Sf/+/Unr\n1q15aRNb7ty5Qzw9PYmuri6xt7cnv/76K+c637x5w6k8W/W8nJwccvPmTXLz5k2V5HLFKS8vJ+fP\nnyeTJ08m2traKtXB9rqamZkxsryHDx8m1tbW5N27d+TcuXPEzs6O+nMfPXpEJk+eTGxtbYmtrS2Z\nPHkyefToEXX5t2/fkh49ehB7e3syf/58Mn/+fNK3b1/SvXt3Vtf03bt35NdffyU///wz+fnnn8n2\n7dvJu3fvqMurA7t27SL29vbE1NSUrFixgty7d4+1J5arqyvR19cnM2bMIBcuXCClpaW8enPVFGo3\nctfU1GTSXKmaiQngHibO9Unu4+Mjd5+GhgaWL1+utI6qCP5hO+WUx9u3bzF06FDcvn1b6bHFxcWY\nPn06IiIioK+vD0IInj9/DkdHRwQGBrKyKXINmuFyXcVDxMeNGwdbW1vGzEfrAXXixAnMmTMHixYt\nQpcuXQBUzII2bdqEgIAAKl0YEdHR0RIjRTb+1I8fP0b//v0xaNAgdO7cGYQQxMfH49y5c4iOjlZq\n6lIXZcr69etj8ODB8PX1ZfLAso2hsLKyQoMGDTBu3Dg4OzujdevWrOrQ19dXmLgkJSVFaR3y1glF\nzJ8/n6otEp+tbp07H4iHiTs7OzNh4rSLL+PGjcONGzcwaNAgODs7o2/fvjA0NGS1eCMr5VpBQQGC\ngoKQlZVFtbDLV/APlw7Nw8Oj0o2bnZ2Na9euYdu2bVSd0YoVK5CSkoLAwEA0btwYQMW6yKxZs6Cr\nq4s1a9YorYOPoBmu19Xa2honT57EV199BV1dXURHRzML/R07dsTjx4+V1mFlZYWwsDAYGBhIbE9N\nTYWTk5OEvog85Ln/iaDJJzt69Gi4uLjAxcVFYrvowR8aGqqwvKzrzlaZkg+ysrIQEhICgUCAzMxM\njB49Gvv372ft1pqYmAiBQIAjR46gZcuWSExMxIMHD6hMsFlZWRLvy8vLcfToUfj7+8Pa2lrpuQQU\nm3E1NDSwYsUK5V9CmhqcNcgkKytL4pWdnU3Ky8tZ1TFixAjSvn17Mm/ePHLjxg1CCLsAC0tLS2Jr\na0u2bdtGXr9+zbq8NLm5uWTNmjVET0+PLFy4kLx9+5aqHB/BP1ynnAcOHJB4/f777+TEiRPU34GQ\nCnOGKFONOHl5ecTMzIyqDj6CZrhe1z///JN8++23pFWrVmTKlCnM9kuXLpGhQ4dS1dGxY0e5+0xN\nTanq0NPTI/r6+sxf0Uv0ngZjY2OV9skjJiaGDB48mNja2pLjx4+zLs8HL1++JP7+/sTGxoaYmJhQ\nZ02TJi4ujixYsIDo6OiQHj16UJcrKysjBw4cIGZmZuTHH3+UCGziwpYtW1Qqp3adu/iNK3o1b96c\nfPfdd+TZs2fU9bx//57s27ePfP/990RfX580a9aMxMbGUpd//PgxWbFiBenQoQOxs7MjLVq0YG2j\nzsrKIt7e3kRPT4+sXLmSZGdnsyovIj8/nxw+fJgMGzaMNGrUiMyYMYNERUVRleXaodGkJVSGomxL\n4inOFFFaWkpOnz5N3NzciI6ODhk/fjz55ptvSElJCau2cL2uJSUlla5jfn4+ycvLoyrfqVMn8vLl\ny0rbX7x4QX0u+EDRegmbtZTz58+Tvn37Ent7e3L27Fk+msYLT548IatXr+ZUR3l5Obl8+bLS4z5+\n/EgCAwNJhw4diLu7O3n69Cmnz5VG1Wh0tevc5REaGsoqlFccVcLExVHlSe7p6UkMDAzI+vXrqX/4\nNGRnZ5Pdu3ezClXn0qFxTcFGCCEWFhYkOzu70qwsKyuLWFhYsK6vqKiIHDt2jIwaNYpoa2sTV1dX\nldrF9rrykVs3NDSUGBsbk0OHDpFHjx6RR48ekYMHD5IOHTqQY8eOUdXBRz7ZNm3ayEwV6O/vT/Ub\nOXHiBOnRowcZPHgwuXLlCtVnVgWXL19W+KLB09OTBAYGVtoeGBhIFi1apLR8mzZtiK6uLtmyZQsJ\nDQ2t9OKKqjIKn5TNnY+w/StXrqB3794qlSVSCUQUoampCS0tLdStW1flheFbt27h3bt3GDJkiMT2\nU6dOoVWrVozwFBtu374NgUCAo0ePom3btrh27ZrC401MTCAQCORG1dK4/3FNnqKIvLw8hIeHc/Kt\npr2u4vef9L3I5t68c+cO/P39mcVQU1NTeHp6Ul9PPtrB1VWXD2VKPuDD9m9jY4O4uLhK36O8vBwW\nFhZ48OCBwvITJ05UuKCqqruxCFXlNdQuiEke+fn5KC8vpz7+zp07SElJgampKczMzPDq1Sv4+Pgg\nKipKqbeJl5cXDA0NMX36dIntu3fvxrNnz6g6dzZtlceiRYtk+reamZlh0qRJKsmA2tjYwMbGBps2\nbcKVK1eUHv/3339jwYIFcjtmmjawkQeWR0BAAJo2bQp3d3eJ7UePHlUYtCYO1+sqfg6kzwebMZK1\ntTWn8Hw+2sElzgIALl68yKk8X0gHpomyUn3zzTfYvn07VR3FxcUyO2d5AxJpDhw4QPU5ipCXZpFw\niJ5Wu85dlktQTk4Ojh8/Th2humzZMoSGhsLKygpLlizBiBEjEBYWhrlz5+LXX39VWj46OhobN26s\ntH3q1KmwsLDA+vXrldbBh0dDXl6eTM0SXV1dvHv3Tml5AHBxccHRo0cBVDwsNmzYAKCiY/b19cXZ\ns2cVljc0NOScMk3ZqKNdu3ZK6zh8+DBu3LhRafv48ePRpUsXquhOrteVD0kJR0dHhcfKk0jgux1c\nXXVFssJFRUVITk4GUHGvqJoSjitcslI1bNgQT58+hZGRkcT2p0+fomHDhkrL8+HGSDtAYYPade6y\nssp/8803+OOPP6ijzcLDwxEfH48GDRogJycHOjo6ePDgAbWPO9cnOaBY0IjWFKEoX+w///xD1Y6n\nT58y/587d47p3IHqC1V3cHCQmWczMzMTGRkZVFPn0tJSmVGo9evXp74mXK+rKFm4aDQlnji8qKiI\nqg2iAQohBDNnzkRgYCBVOXESExNhYWHB5JMV+XeT/88nS4MolkQccVddZZ17aWkpli5din379kFX\nVxeEELx8+RKTJk2Cn59ftaXZ4yMrlY+PD4YMGYJly5YxprG4uDisW7eOSo1RUcfMVZCOEypZ6msI\nWs8I6UVAKysrVp/TpUsXkpSUVGl7UlKSShGuqjJ9+nSydOlSCVfQ8vJysnz5cjJ16lSqOsTPhfR5\noVksPXLkiEyXrocPH5KMjAyqNkjz7NkzMmPGDGJoaEgdaWtubi5zEfjNmzfUXibqcl1FsL0vRSjS\nYafRYpdGFVfduXPnEnd3d5Kbm8ts+/DhA5k6dSr55ZdfWLdBVTQ0NIiOjg4ZNmwY+eGHHyq9aLl/\n/z5xc3Mj1tbWxNramowfP57cu3ePc/tUdWPkA7Xr3Hv16sX8/9NPP0nso/XcaNq0KXNxhw0bJvGe\n5oKfOnWKtG/fnuzfv5/cu3eP3Lt3j+zbt48YGRmRkydPsvtCUrx48YLMmDGD6tj8/HwyduxYYmBg\nQJycnIiTkxNp3749GTNmDLUHTocOHcidO3dIXFwcMTExIXfu3CG3b99m3itjzJgxMr0O/vrrL9Ze\nKklJSWTChAnExMSE7Nmzhwnlp+H3338nNjY25NKlSyQ3N5fk5uaSixcvki5dupADBw5Q1cH1ut68\neZOcOnVKZr1xcXHU30UEH55I0giFQupjubjqGhoayow/KS0tJYaGhtT1cOXSpUsKXzUN16Q6XFA7\nbxnxJALSCQVoEwzwkYbswYMH2LRpE7NSbmZmBi8vL2rT0OPHj7Fw4UImSUZAQAA2bdqEiIgIzJ07\nF/PmzaOqB6iIXhQPM5eOblQE19yMXbp0QVxcnMx95ubmSj0JgIpz6efnh4cPH2LhwoVwdXVFnTp1\nlJaT5vTp01i/fj3zmebm5li8eHElbyJlbVH1uvbv3x/79++vtA7y/Plz6gVucS+p3r17IyYmRsIk\nJDL1KKKgoAC7du1CSkoKzMzMMGPGDERGRsLb2xtGRkaIjIxUWoeXlxfCwsIwbdo0zJo1C19++aXS\nMuIYGxsjKSmJ9b6qgovt/4cfflBoPuHi+cM1CQwX1K5z58PNKzc3V+6P5MWLF1QLeFzp2bMnpk2b\nxiTJ8PHxwZQpU+Dj40N94yn7rqpkRBcnNjYWtra2Co/p0KEDnjx5wnqfOHXq1IGOjg4cHBxkduo0\ni9zqgHTGHXEsLCyU5h0FKn7sitZiaFzeRo0ahcaNG6NHjx5M9qMGDRpg27Zt1IkduLrqjhw5Ek5O\nTpVcUP/44w8cPXq02lwh+bD98zEYlAcfWcJURe0WVN+/f4/w8HCUl5dLaJETFrrG9vb2clPcjRw5\nUmmnyceT/J9//sHEiRMBVHSCv/76q0xPDUUo0jBXNSO6OM7OzkpvPENDQ5w6dQpDhw6V2H769Gnq\nGQRXP19AtsaNODQPCK7XlY8Fbj5GcU+fPmUeJFOmTEHr1q3x4sULVqNVrq66O3bsgJOTE/bt2yex\nCFlYWIjw8HBOdbPBy8sLeXl5ePbsGaNblJubC09PT3h6emLbtm1K6+DSeQNV48bIB2rXufft25f5\nkfXt21fCj5VWaU58VKRKijtPT0+qz1FEUVER4uPjmc/T0tKSeE8z6q5qX2Kac7F161Y4ODjg6NGj\nEj/i69evUycimDBhgsztRUVFChNoiCNSUOQC1+s6YMAAeHt7w9fXl/kxE0KwcuVKVoqMZWVlOHv2\nLJMv1dTUFAMGDKA2VYnnKK1Tpw7atm3LiwtiQUEBwsPDIRAIcPLkSYXHtmnTBrGxsRLKlEOHDsV3\n333HuR1sOHHiBJKSkiQ61yZNmmDnzp0wMTGh6tz79eunMAhJfHAoi6pwY+QDtTPLKCI0NBSjRo1S\nehxfkYRc4GrrBpT7PLNJbi0L2iljcXExgoODJezUbBIRiFNWVoaoqCgIBAKcPXsWvXv3xrFjx1jX\nwzc3b95Et27dFB5TUFCAKVOm4ObNm4z54+7du+jSpQv27t1LZbdOT09H//790bx5c0ZqNyEhAdnZ\n2YiOjsY333yjtI46dergiy++YB7OhYWFaNSoEWtZbKAiZd/JkycRHByMqKgojBo1Ck5OTkrVPvmI\n4+ADPmz/smSrb9y4gY0bN0JbW1uuKU5EdHQ083B/9uwZ9PX1mX1hYWGcf6eq8kl17rSdUdu2bTF/\n/nwQQrBlyxYmiIAQgq1btyqdGvORXV4RtJmDNDU1YWVlxXQkRMpPnMbcIc8UQQhBdHQ0dc5Nadhk\ngwIq7JrBwcE4ffo0unXrhpiYGKSmpjK5IpUxadIkhaOroKAgpXUQQhAeHs4sRIr06JcsWYLMzEyq\nxXqA2wL3pEmTYG5uXsnktmXLFty7d0+1jDsqcPbsWQgEAly4cAH9+vWDs7MzZs+eTR1NLNIwFz1Q\nRIjec5GUYAPftv/Lly9jzZo1KCoqgre3N9VivToMJmXxSXXutCvPXHUzevXqBaFQyGioW1lZ4cKF\nC0x2eWXTNFmIOtPg4GCcOHGCKvFuREQEhEIhkpOTMWLECLi6usLQ0JDV5/K5WBQfH8/o0ujr68PJ\nyQkeHh5Ky7Vt2xampqZwd3fHsGHD8MUXX7DS1wcgUxP75cuX2LJlC8rKyvDq1SuldUydOhWpqano\n1q0bLl++jNatW+PJkyfw9fXFyJEjlZbnI9LWxMSEMcew2SeLixcvMg8Zc3NzJhE6DaJcAbt27ULr\n1q0BsMsV8Pz5c5nR09XN33//DScnJzRs2FCm7Z82NWdUVBR8fX2hpaUFb29vhTNvafjw8KsK1M7m\nrgjaaC+uuhl8ZJcXIStzkL+/P1XZkSNHYuTIkSgoKEBkZCQWLFiArKws+Pn5UXfKpqamyMzMhKmp\nqcT2R48eoWXLlkrLy8oGRQhhtR4wevRo/Pnnnzhy5AgA5QubshA3x6WmpmLt2rX466+/sHjx4kp6\nM/K4ceMG7t69C01NTRQVFeGbb75BSkoKmjdvTlWej0hbReHsNKHuwL8dWoMGDZgOLSQkhFWHdufO\nHQiFQvTp0wft27eHi4sLqwQbjo6ONTYiFYcP23/Xrl2RmZkJLy8v9OjRAwAqjb4VwYccRFWgdiP3\nTp06yTUjJCUlobi4WGkdXHUzDA0NGZ9Zadq3b0+VNouPzEEiysrKcObMGQiFQty/fx8bNmzAoEGD\nqMqOHTsWP//8c6XF6CtXrmDnzp1KBaz4ygZFCGGSN586dQofPnxAUFAQhg4dSu1jnZiYCF9fX8TH\nx8PLyws//fSTxOKiMvieMqelpWHDhg04f/48fvnlF6pZjIGBgcyQdkII5s+fT3VvOTo6YsSIEYw3\nloiDBw8iNDSUys9dnGvXrkEgECA0NBSWlpZwdHTEtGnTFJapyRGpOHzY/u3t7RWa/JStjzVr1gx9\n+vSppC5KCEFMTIxCL6uqRO06d2WKjTRTQa4p7vjILq+trQ1ra2v8/PPPGDx4MOrXr8+6U4yOjoZQ\nKMTNmzcxYMAAjB07lrXXCNcgJJFpKDY2FoMGDYKLiwvc3d1VekiJKCkpYRZVo6KiqETQnJ2dcfv2\nbSxYsAAuLi6VPEtofsSNGjVizFrk/3VZDA0NGTsxjZ86UOGK6Ofnh9jYWCxYsAATJkyg1lIZP368\nwv2HDh1SWgcfsQeyKC8vx/nz5yEUCpWu52hra2Ps2LFy91dX7II62P6r0k+eC2rXuYt49uyZhN41\nm0UrcfLy8rBt2zYEBQXBxcUFCxYsgLa2tsIyGRkZGDlyJLS0tJgp2e3bt1FcXIyIiAiqvIplZWU4\nd+4cBAIBLl68CHt7eybghHa0qampCQsLC9jZ2UFDQ6PS6ILmB8RXRyAyDQkEAkRHR8PNzQ2Ojo4Y\nOHAgVXl5FBYWUpkj9PT0mO8v7oYoek/zI+Y6cOAr0lYekZGRGDFihNLjjIyMJAThRJSXl8PY2Fju\nrJNPdHV1Fc6Q5bm/8g0ftn++vdJKSkrw4MEDtGnTRmlfU5WoXeeem5uLKVOmIC4ujvESSUhIgI2N\nDYKCgqjCs4GK6VpAQAAOHz6MCRMmYM6cOfjqq69YtYVLdnlxiouLceLECQgEAly5cgXfffcdlZ73\ngQMHFNrsaH5ADg4OmDVrlswgpF9//RWnT59W/gWkyMnJQUhICI4cOaLS4nJNMXDgQKUSx4qo6khb\nWm+wefPmIT8/H1u3bmXUHQsKCjBv3jw0aNCgWkbNNekFwnc7Jk2aJHcfjVfajBkz4OHhATMzM3z4\n8AE9evRAnTp1kJ2dDX9/f7i6unJqn6qoXec+ceJE6OnpYcWKFdDU1ARQMUJbs2YNkpOTcfDgQaV1\ncNXNkEdBQQF+++03LFq0SOU6+MgcBFSEXdPMAJ4+fQoHBwf07NlTZhCSsbExp3bUJCkpKQgODoZQ\nKGQeworgaifm42GrCFpvsJKSEixZsgQHDhxgRq0vXrzAhAkTsHbtWtSvX59TO2jo3r27TH396qaq\nbf80sTVmZmbM/bd161ZcunQJERERePPmDYYMGVJjaxNq17nLm3Iq2ycOV92M9PR0rF27lhH9WrFi\nBfbs2YPNmzdj1KhRVFFvfAj429nZISYmBkCFrVbcHstmxMJnEJIqHDlyBGPGjOGlrtevX0MoFEIg\nEOD+/ftYsmQJnJycqIS/DAwMFHoqcQk2oX3YKoKtDklhYSFjgmnfvj11zIA8CgoKEBYWBqFQqDRC\n9fbt2wofdFx1j2ipats/zTURf8A4ODjA2dmZWeyudYWkhPY5xFU3w83NDb169cKwYcNw5swZdOrU\nCd27d0dcXBxVBCFQEepuZWWFIUOGQEtLq5L7HA3ibpfSI1M2z2QtLS2FU8+q5tChQ9i/fz/+97//\nqbx2snv3bggEAmRkZGD06NHYt28fhg8fzsrt9cOHDzhx4oRc0S5lnbuih223bt2oHradO3eW6w2W\nkZGhtDxQ4Ym1du1aNGzYEG/evGGVdUgaWRGqM2bMUFpOkZQDH7pHtIj7t1cFNL+zZs2a4cSJE2jT\npg2uXr3KBNSVlpbWqLaM2um5u7m5kdWrV1fSivbx8amk7y6PrKwshS9lWFpaSrxv06YNKSsro/8S\nhJCEhASyaNEiYmlpSSZPnkzOnTsnU/9aEVwTbRBCyJdffkkaN27MvJo0aUIMDAyIu7s7effuHav2\ncCE8PJyYmJgQHx8fkpmZyep6EEJIvXr1yA8//EDu3r3LbNPX12fVBq766eLJNVRNCJOcnKzwRYOi\n+4KWqKgoMnHiRKKjo0Pc3NzIn3/+SXR1dVWqqyapCk18cWj02J88eUIGDRpELC0tyf79+5ntZ86c\nIfPnz6/C1ilG7Ubu27dvh7u7OwwNDSUWVDt37oy9e/dS1cE1xR0hBDk5OUz55s2b48OHD8x7Grc7\nS0tLWFpaYv369YwfsYeHBzZs2IDhw4dTfQ8+FDJliRrl5OTgwIEDmDFjBkJCQqjq4crIkSOhr6+P\nPn36ICgoSMLzhcbTJT09HSEhIfDw8EBmZiZGjx6NkpISVm2QdT+wQdGMi3Y21r59e05t4IvBgwdj\n2LBhiI2NZSJUf/nlF+ryt27dgo6ODjOTFfnY6+rqYtWqVdWmLcPH+oKi2BqaSHJjY2OcOXOm0vZB\ngwZRx6NUBWpncxeRkpKCR48eAahwhazOH4Wenp7cvJpsfWczMzNx9OhRhISEoF69elizZg26d+9O\nVVaZKYWrDkl1eTwUFxfD19cXx44dw6ZNmzBs2DBO9b169QpHjhyBQCBAQUEBHB0dsXbtWqXl7t27\nh7y8PPTq1Uti+9WrV/HNN98ovccMDAywefNmlJeXw8vLi7HfE0KwcOFCqgCkr776Sm5HoqGhoTQo\nB5CvnSSCZj0nISEBQqEQoaGhTITq6tWrlbqLirC2tsb58+fx9ddf46+//sLYsWOxfft2JCQk4PHj\nxzUqBsd2oZ2riyzXoMmqQm07d2levnyJtWvXYufOnUqPreokFzTs27cPR48eRVFREUaPHg0XF5ca\n9XmVpqSkBDY2NtSBO1zo0KEDRo0aheXLl1OH2NPy9OlTCAQCrFixQumxw4YNw7p16yotvt6/fx9L\nly5VKj/Mx8NWWYg/jd88V+0kaVSJULW0tMTdu3cBALNmzULLli2xatUqABVaTAkJCazawJXXr1/j\nyJEjCA4OZr3QnpycjLdv36r80JcVNPnPP/9g7969VEGTVYXade7y0tNFRkZizpw5VOnpNDU1YW5u\njhYtWgCorKaobLFH+uGgoaGBFi1aSOjN0LZB9NSXHq3RqNXx4XEjK0AjJycHR44cgZ0CeDJQAAAg\nAElEQVSdHVWnyJVHjx5V0rZhCx+BJooyKXXq1An3799XqW1sUOapRRvHURWwiVA1NzdHQkIC6tat\nCxMTE+zevZsJu6dNv8gH0gvto0ePxvDhw1lFUHN96IujStBkVaF2Nnd3d3eJ9HQWFhaYMmUKEhMT\nqV33AgICcOzYMTRs2BBjx46Fo6MjK193WRmQsrOz8fHjRwgEAqpUZnwk2hC3l+/atQvTp09nXYf0\njamhoYHmzZtjzpw5cHBw4NxGGhYvXqxwP82DTvx7/PnnnxJ64zSeLkDFGoY8aLwa+HjYmpmZMetB\nmZmZ0NbWloi0ra6UbPJmty1atMDs2bOVlnd1dUXfvn3RokULNGzYEL179wZQMQpu2rQpr21VxOzZ\nszF48GBs27YNFhYWANiLdb19+1bmCL9Tp07UEsjSQZN37txhHTTJN2o3cpee0qkiUiUiNTUVQqEQ\nkZGR0NXVxdKlS6lzTMoiLi4O8+fPx19//aVyHaqiLkJNqtCyZUvo6OjA1dUVtra2ldYy2GpvqHou\nXF1d0b9//0qaQXv37sW5c+cY1Up58G0OqclrynV2C1SobKanp2PgwIFMpGxSUhLy8/Orzc89KysL\nISEhEAgEzEL7/v37WaUzVBQ/o0hEUERVBU1yRe06dxMTEwgEAuZm+/HHHxEcHMwqPZ04Dx8+hFAo\nxKFDh7Bx40a4uLhwal9NhV2r+rnqsNgjrrNz7949ODg4wNXVFWZmZirVp+q5ePv2LRwdHVG/fn2J\naN2PHz8iPDycOoaBL2oyhH/r1q04duwYmjZtqtLsVoS4pryZmRkrHXS+UXWhnetDn2vQZFWhdp07\nH+npxEfsOjo6GDt2LBwcHDgv5r19+5bJ3lPdqNoRcFXI5Jvi4mIIBAJ4eXlh5cqVVCYAabh2ihcv\nXpSI1qXVDPLy8oKhoWEl89iuXbvw7NkzrF+/nlU7uH6PzMxMtGjRgulQgoODsXbtWlb2blVnt7I0\n5W/fvs06SUZVwWahXd0e+nyhdp37jRs3qF0F5SFSUxwxYgSaNGlSyQanzDbq4eFRqUx2djauXbuG\nrVu3Uvupc0Xc/zY5OVlCrpaNRK2ImlzsKS4uxsmTJyEQCJCWlobhw4dj8uTJ1J2AeIKPv/76q5I+\nPY3dnmuuSxsbG8TFxVW6N8rLy2FhYUHVqYqHw2/cuBELFy6U2E/jay4yAdSrVw916tTB//73P6xa\ntQq6urpYvnx5tcxu+daUV5U//vgDhJBKUsqHDh1CnTp1MG7cOOq6VH3oS7uvamhooFmzZjWaqANQ\nw86dj6nqqlWrFJ5YZbbR33//XeK9aBGya9eurDrD33//Hdu2bWNkdTt27IhffvmFWjSMD217gB+F\nTC64ubnhwYMHGDp0KMaOHQtzc3PWdfChmc0116UiLxBx8ShFKDODrVmzRmkdFhYWCAsLg6GhIe7c\nuQNbW1uEh4ezih/gOrutKk15ttja2uLChQuVTEoFBQXo06dPtcyyxTXlReTl5cHKygp79+6Fnp5e\nlbdBJlUZ/qoKtGHcNYWLiwvVcQcOHCBWVlYkOjqavH//nuTk5JALFy4Qa2trcvDgQao6nj59SmJi\nYiptj4mJoQ5V9/T0JAYGBmT9+vUkLy+PqgzfaGhokC+//JJ5iaQQRP/TkJGRQR4+fFhp+8OHD0lG\nRgZVHeL3lvR9RnPfdenShSQlJVXanpSURGxsbKjawAfSIfdmZmas69DQ0CCWlpZkxYoVxN/fn2ze\nvFnipQxDQ0OZ28vKykj79u1Zt0dVFMkPdOrUqdraIYvQ0FAyaNCgGvt8tXOFfPbsmUKzB9ts5nxz\n/fp1quN27tyJ8PBwiad2//79ERoairFjxyrNyAMAc+fOxbp16yptb9KkCebOnUvlf7t582ZoaWnB\n19cXfn5+zHZSjYs9XIXcgApT2c8//1xpe1ZWFnx9fan08bnmuvTx8cGQIUOwbNkyCdvsunXrZKbO\nk8WSJUugp6cn027/4sULiWskj4yMDAm3zPfv30u8p3HJXLFiBfOdpdddaM7FsGHDMHXqVJma8tK5\nA6qSwsJCFBQUMG0QkZeXh48fP1ZbO2Th5OQEX1/fGvt8tTPLGBkZKdSQqamUVSJoZVlNTU0Z+QQ2\n+8RRh6AbPhH3rDA3N4e9vT11Wa7pAgF+cl0+ePAAmzZtYj7P3Nwcnp6eVJGQQIX5R5ZcbllZGSwt\nLam+B98umdLcunULXbt2VXiMOmjKA4C/vz8uXLiAwMBAph1paWmYNWsW7O3t4eXlVS3tkEV+fj7s\n7OyqPVpXhNqN3L/88ssa78Dl2V4JIdRiVXxkuecadKMuyPKsCAkJYeVZIUsATQTtNRFf5JOWrFUk\nYSuOubm5xJpMTk4OmjVrRlUWqGirrJExm3R9XDtvWTx69AgCgQACgQDNmjWT+yAVUa9ePfj7+zNJ\ndAB+NOXZ4unpiS+//BJ9+vRBfn4+CCFo3LgxFi9ejJkzZ1ZLG2QFt+Xk5OD48eMqeYPxhdp17uIe\nDFx48uQJdu/ejcTERAAVi5lTp05Fhw4dlJaVFaEqwsTEhOrzHz9+zETMiUMIoQ7K6tKlC/bs2SPT\n/7YqNaz5Zvbs2Zg5c6ZMz4qff/6ZyrPC0NAQp06dkpkukFYjXtGgYcyYMUoHFT4+PnBxcYGJiQmK\ni4sxZMgQJgQ/ODgYAwYMUNoGLS0tpKSkVNIrSUlJgZaWFtX3cHFxwdGjRwEAixYtwoYNG5h9bFIJ\npqWlMR16/fr1kZaWhri4OKoFwKdPn8LT0xMpKSno1KkT/P39q71jFzFjxgzMmDGDGQA0bty4Wj9f\neuChoaGBb775Bn/88Qf1jK4qUDuzjLh7WEhICJydnZl9oiQFyrh+/TqcnJwwffp0dO7cGYQQxMfH\nY8+ePQgLC+PkahkbGwtbW1ulx/Hh6fK5+N/y4VmRlJSEYcOGVVm6QBpzm5mZGR48eAANDQ3s3r0b\nwcHBuHDhApKSkjBhwgTcvHlT6eecPHkS8+fPx/LlyyW+h6+vLzZv3kzl8SIe2Srt5UMb9dqjRw98\n/PgRLi4ucHZ2hoGBAfT19ak1WXr37g03Nzf06dMHx48fx/Xr15Xq/1QF0qNmkQ6UnZ0dbwNFNojW\nL9QhSlXtRu5CoZDp3NetWyfRuZ85c4aqc/fx8YFAIJCw6Y4cORL9+/fH6tWrVUoKLcLZ2ZnK5s41\nIzsAtGrVCteuXZPwv3VwcFA5UXdNIW9Btby8XKlKoghjY2Pcv39fIl1g3759sWvXrmpLF1i/fn3G\npBIVFQVXV1fUqVMHHTt2RGlpKVUdDg4OaNu2LTZu3IhNmzYBqDD1HDlyhFoagw9d+VatWuHBgwd4\n+/YtMjMzYWBgwMovOy8vj5lRenl5VZvcgKx2SJOWlgY/Pz+sWrVKYQo+Ptm5cyfWrVvHZE/78ssv\nsWjRIplOANWF2nXu4hMJ6UkF7SQjJSVF5mJd3759lUqZsmmfIkS+r+LlxBNU0Gh/i+jXr1+NhnVz\nhQ/PisTERJiYmGDSpEkoLi6WMGHQBr5xXUvR0tLCgwcP0KpVK1y8eFEiH+s///xD8S0qsLS0xOHD\nh6mPl+aff/5BfHw8ysvLUVhYiPj4eBBCQAihXouJiIjAhw8fEBYWhuXLlyM5ORk5OTm4efMmunXr\nprR8UVER87kAJNoBVF8OVXnrD9nZ2RgwYEC1dO6+vr64du0aLl26xJgIU1NTMWfOHGRnZ2PZsmVV\n3gZZqJ1ZhmugCVARSSgveIFrkBStt0xWVpbE+/Lychw9ehT+/v6wtrZGaGioym341JD2rCCE4OXL\nl6w8K/i4L5Q9IJUpecbGxmLChAnIzMzE3LlzmYCkU6dO4dChQxAIBErbwAf29vYKR9mqKJJmZGTg\n6NGjEAgEePHihVLhLUVtqM4cqoqoLmG2Dh064O7du5VmkIWFhbC0tERSUlKVt0EWate516lTB198\n8QUzChEt0hBCUFRURDXCkpcRnRCCo0ePKk2dJR7qLl0+OjpaInG1MsrLy3Ho0CFs2rQJVlZWWLp0\nKWdt80+VwsJClT0rxH+o0j/aT1kxUx25cuUKI+H7qXLx4kWsWbOmWh4yJiYmjOMGm31VjdqZZWht\nsIoQ2TJl0aVLF6XlFbnF0brMlZSUYN++fdiyZQvs7OwQERHBaMP815AlkSzuaietEyMLrgFIAD+L\n9Vyh8SFXBh+JS4AKM1VKSgpMTU1hZmaGV69ewcfHB1FRUUodAvhqA1dk5T/Nzs7Gt99+i4MHD1ZL\nG9q0aYMLFy7gu+++k9geHR3N5KetCdRu5F5UVITAwEAkJyfDwsICkydPRt266vEMevnyJYRCIVVg\nRNu2bVG3bl3MnTsX7dq1q7S/um5+dUA8sYYIkfDZy5cvqR7ootkYIQRHjhxhZma0szGAH9MOVywt\nLWFnZ4d169apnHVJPN2frMQlyrIoAcCyZcsQGhoKKysr3Lp1CyNGjEBYWBjmzp2L6dOnK12k1tTU\nhJWVFbMILN6N0LaBD6QfQiIdKOmI1ark4cOHGDFiBOzs7CQ8oK5evYrIyEiVpa25onad+5gxY1Cv\nXj307t0bp0+fhq6uLrZt28aqjkmTJim0BwYFBVHXlZmZySQDeP36NRwdHSUW0uQxceJEhW2orptf\nHbl69Sp8fX2Rk5MDb29vmZ2/NNJibtJMmDBBaR3qYNopKyvDli1bsHv3bqxevRqurq6c6lO13WZm\nZrh9+zYaNGiAnJwc6Ojo4MGDB9QiVxERERAKhUhOTsaIESPg6upaozPT+/fvS8S0qCJOx4WioiIE\nBwczEdimpqb48ccfq82TSxZq17mLh9WXlpaiW7durEdUshYrX758iS1btqCsrAyvXr1SWD4vLw9h\nYWEIDg5GSkoKRo4cCaFQqLQcLW/fvkWrVq14qetT4sKFC1izZg00NDSwdOlSfP/999X6+VxH7rdu\n3YKOjg4TXyCSt9XV1cWqVavw9ddfU7fl0aNH6NGjBzQ0NKCpqcl4U0nLx7L5TlzKqfqQKCgoQGRk\nJI4cOYKsrCz4+flVa4T5hw8fMGLECLx8+RIWFhYghOD+/fto164dIiMjqyUnLdcE21WFetg7xKhX\nrx7zv6rmmFGjRjH/p6amYu3atfjrr7+wePFiuLu7Ky2vra2N77//Hj4+PkzAEtcAjffv3yM0NBTB\nwcF4/PgxXr9+zam+T4mTJ0/Cz88PTZs2ha+vL+zs7FjXoUxDn0ZQ7u7du2jSpAmzWC/64YsW65Ux\nffp0nD9/HgCY+2n79u1ISEjAtGnTcOzYMYpvUjEL8fX1xerVqzFr1ixoampSleOT1NRU5pwSQioJ\n9tEK9DVo0ABNmzZFkyZN8Pz5c6rzyCfLly9Hly5dEB0dzZzH8vJyLF68GN7e3ti+fXuVt4EPgb+q\nQO1G7iJvGQASHjNsVQwTExPh6+uL+Ph4eHl54aeffqJ+WGzduhVCoRAlJSVMBN+AAQNY53ItLCxE\nZGQkgoODkZCQgNzcXERERKBPnz418oOuKTQ1NdG2bVtYWlrKNFXRdCR852FVBUtLS9y9excAMGvW\nLLRs2RKrVq0CUDn3rzx69+6N1q1bY+vWrfj2229VagcfiUu46uNHR0dDKBTi5s2bjD85jbMC35ia\nmuLevXuVftulpaXo1KkTHj9+XOVtUFeBP7Xr3PnA2dkZt2/fxoIFC+Di4lJJlIl2+ixKaCAQCPD0\n6VOsXr0ajo6OVKHu48aNw40bNzBo0CA4Ozujb9++MDQ0pA7v/pzgI9EG33lYVcHc3JzRkjExMcHu\n3buZjpVWmfLMmTMYPHiwzH1bt27F3LlzldbBx/kUJzMzE0DFA5QWUbYzOzs7aGhoVHpoi2ecqkoU\nPVRpH7hc4Zpgu6r4LDt3PT09iWhQ4N/VfA0NDdYjcKBC6lUgEODIkSNUF8vKygoNGjTAuHHj4Ozs\njNatW8PAwEClz/5cKCoqYs6doaGhyotNfORhVQU/Pz+cOnUKLVq0wIsXL3Dnzh1oaGggOTkZEyZM\nwNWrVznVTxsgN3HiRBw4cIDTZxFC4OPjg+3bt6O8vByEENStWxceHh5UeUf5WODmAxMTEwgEApnR\n7D/99FO1jNy5JtiuKj7Lzp0rbJT1FJGYmMg8EFq2bInExEQmfP2/RGlpKZYuXYp9+/ZJRKhOmjQJ\nfn5+EussiuCah5UPbty4gfT0dAwcOJAxHyYlJSE/P59zyL2Ojo7SyFCAH7fNgIAAnD59Grt372YE\ntlJTUzFz5kwMHjwY8+bNo66rJsWyqiJaly3qKvD3n+ncU1JSEBwcDKFQqDTXZVW4xd2+fRsCgQBH\njx5F27Ztce3aNV7rV2fmzZuHvLw8bNmyhZFjzc3NhaenJxo2bEjl6spHHtaqoqCgAL/99hsWLVrE\nqR7akbu80aoImodM586dce7cObRo0UJie2ZmJgYOHEh1/6ujWFZNomqC7aris+7cX79+zdjM79+/\njyVLlsDJyUmpxrKBgYFCX3YuAUjSWYD+CxgZGSEpKUlm9iETExO59kpxNDU1mZGyLEG26kgXmJ6e\njnXr1iElJQVmZmZYsWIF9uzZg82bN2PUqFFUD6nGjRvLlbYoLCykUpds3LgxunbtKrNzp9V1UbRG\nQLN+IBLL+u233yqJZdna2labWJY6RB2rK59l5757924IBAJkZGRg9OjRGD16NIYPH069mNm8eXOM\nGDFC7o/nvxyApArGxsZyxZMU7VM3vv/+e/Tq1Qs9evTAmTNnEBERge7du2PLli3VOvXmY2apyLRD\nY/ZRF7EsdYg6VlfUzs+dD2bPno3Bgwdj27ZtTDYkNlrVurq6tR04j5iamuLgwYNwc3OT2P7HH39Q\nZ7ZSBzIzMxnXx0GDBiEkJASHDx/mxa2VL9MOLSKff2loff41NDRkLog3bNiwWt18+ZAI/1z5LDv3\n9PR0hISEwMPDA5mZmRg9ejR1nk2g9qbgmx07dsDJyQn79u2TWHAS5VD9VCCEICcnh7k/mjdvjg8f\nPjDvaVxs09PTsXbtWqSmpso07dAgSqvHxfuIq0Cfuohl8SEo97nyWZplxHn16hWOHDkCgUCAgoIC\nODo6KrXD3bt3jxnxq5oYYu7cudi6dSsAYNu2bZgzZw6zjw9Xtk+R6OhoCe0N6Y5B3dHT02OkAqSh\ndbHlw7RTUlICb29vzt5HXFAXsSw+JMI/Vz77zl2cpKQkCIVCpX68fNjxam2ByqluU4Q6IB1Y07Zt\nW7x48YKVKYMP7yM+UEexrFr+5b8TA4+KxTuaAA0+7HiK6vivkZ6eDg8PDzg4OGDhwoXIz8/Hli1b\n0KFDh09KY+ePP/5g/pcOWPrtt9+o6hCZdrKzs5Gdnc2YdkTvaThx4gT27NnDdOxAhY7Jzp07cerU\nKao6uJKcnIzbt29j8uTJ2Lx5MzZv3gx3d3fcvn2bVQrJWqqO/1TnTgsfdrzy8nLk5OQgKyuL+V/0\nA+YjIcmnhJubG5o3b45ffvkFJSUl6NSpE27evIm4uLhqG2XyQUBAAPO/h4eHxD7aBfgPHz7AxsaG\neeXm5sLa2ho2NjbU2iyywv2BChNFddmZ586dK3NBViSWVUvN81kuqHLl1atX+OWXX0AIYf4HKkZd\nf//9N1Udoh9xdScMVkeq0sukOuFjRpeWlsa5HergffT27VuZ8SKdOnXi5TvWwp3PsnMvKytDYWEh\nEw5948YNfPz4EUCFj7D4dFYW4mn6pEdTtKOr2hv8X/jwMlEHqsozg030NKAe3kfv37+Xu6+wsLBa\n2lCLYj7LBVVPT09oa2szkWv6+vowNzdHUVERrK2tGVeymuDly5dYu3Ytdu7cWWNtqG748DJRBxo1\nagRDQ0MQQpCSksJkHiKEIDU1lVXidFWjp8WpSe8jdRXLquVfPsvOvXPnzrh16xaj8SyK6COEoHfv\n3oiJiVFYno/EEI8fP8bChQsZf+aAgABs2rQJERERmDt3Lithpk+d58+fQ1dXt6abwRllSaNpviPX\n6Gl1QV3Fsmr5l8/SLFNeXi4h3i8aqWtoaDAKdoq4fv26wsQQNLi7u2PatGno0aMHTp8+DQsLC0yZ\nMgVPnjz5z7mKOTo6fhaun6LO+/3794wejrGxMZo2bUpdB9foaXWhVatWuHbtmoRYloODQ42LZdXy\nL5/lyL1jx464efNmJdv6hw8fYGtryyTSlQcfiSGk/Zn/y1ru1ZV8uqopLi7G9OnTERERAX19fRBC\n8Pz5czg6OiIwMBD169dXWkdWVhaTcF0UPb1//34qqd9aamHDZ9m5BwQE4Pz58wgMDES7du0AVEyp\nZ86cif79+8PT05O6LlUTQ0jLsv74448IDg7+T3rPaGtrY+zYsXL3V1fWHq4sX74cqampCAwMZAYO\neXl5mDVrFnR1dbFmzRpW9akSPV1LLbR8lp07AAQGBmLt2rUoKCgAIQSNGzfG4sWLMXPmTKryXBND\nKEoiQCvL+rmgq6sLHx8fufurK2sPV8zNzXHz5k0mxF1Efn4+unfvTpVmTx600dO11ELLZ2lzB4AZ\nM2ZgxowZyMvLAwCl7o/iiCeGWLlypUqJIS5dusS6zOdK8+bNP5kOXBGampqVOnagIkkFrd1cnv64\nsbExlRpjLbXQ8lmO3A8ePKhwv3TwhzR8JIYICwuTeK+hoYEWLVrAysqK1YPmc6B79+64ceNGTTeD\nM5aWlrh06ZLMBfZ+/frh7t27Suuo1Ryqpbr4LEfut27dkrn9+PHj+Pvvv5V27uXl5Zzb8Oeff1ba\nlp2djXv37iEoKOg/5VUgFArx4cMHxqvk4sWLiIiIgK6uLmbPnk21EKkOSEcdq0Kt/ngt1cVnOXIX\nhxCCw4cPY8OGDTA1NYW3tzfjglYTPH/+HC4uLoiNja2xNlQ3tra2CA8Px7fffouEhAQMGDAAS5Ys\nwb1791CvXj3s3bu3pptYbdSO3GupLj7LkTsAlJaW4sCBA/D390f37t1x7NgxdOjQoaabBV1d3f+c\nxnRhYSG+/fZbABX6J5MnT8aCBQtQXl4OKyurGm4dd9hEHYsyIIn0x0XiW7QZkGqphZZPS7mJkh07\ndsDU1BS3b9/GmTNncODAAbXo2AHgyZMnEsk//guITw6jo6OZMPlPTTjs8ePH+OGHH2BmZgYXFxe8\nevUKc+bMgZ2dHYyNjanqKCsrQ25uLvLy8lBaWorc3Fzm/X/toV9L1fJZjtw9PDygra2NmJgYCd1t\n0YLovXv3qrwNP/zwQyUPiuzsbKSnp0vogv8X6N+/P1xcXNC6dWvk5OQw6w3p6emfjL0dqI06ruXT\n4rO0ufOhAcKVy5cvS7zX0NBA8+bNYWRk9El1aHxACMGRI0eQnp4OFxcXJlYgPj4emZmZGDhwYA23\nkI7aqONaPiU+y5G7OohU+fn54ezZszXdDLVAQ0NDZoRqfn4+IiMjP5nOvaioiBGgAwAtLS2J9/+l\nqONa1J/PcuTeuHFjmUElbPzUuVLr+SCb+Ph4BAcHIyQkBPr6+hg1ahS1pENN069fP7n7/mtRx7Wo\nP5/lyF0UlVqTvH//vlIgkzhOTk7V2JqaJSkpCQKBAEKhENra2nB2dgYhBBcvXqzpprHiU2tvLf9t\nPsuRuzrQvHlzjBgxQm6CCtqcm58DmpqaGDZsGHbs2AEdHR0An669OiMjAzt27GCSZJiZmWHWrFnQ\n1tau4ZbVUsv/tXfvQVFWfxjAn10N8AKGJlpeVrxguKLGolYiAlN5QTDMy0LjJZvoZoLadrHMX4qN\nY8ZkzdiMipoj7CK5Xsgcx8QYBC3d8IKaQoJZGBFIAgIq7O+Pxs11F1zEd8/u8nxmmuIckcdJvx7O\ne97vMeeSK/fb2zJ3FlaZTIZbt27hxo0buHXrluQZFApFmyrgzdHr9dDpdAgJCcH48eMxY8YMp3wb\nMycnB7GxsZg7d67pLWeDwYBRo0YhJSUFY8aMEZyQ6A7GNqCqqsq4atUqo6+vr3HRokV2+ZojRoyw\ny9dxJtXV1caUlBTj5MmTjR07djS+9tprxv3794uOZbPRo0cbf/75Z4vxvLw846hRowQkImqaS2/L\nVFZW4vPPP8fWrVsRGxuLhQsXolu3bnb52qdOnUJVVZXFai4nJwc9e/bEgAED7JLDUV29ehXp6elI\nS0vDwYMHRcexyZAhQ3D27NkWzxGJ4FyvCNro77//xvvvv4/AwEC0b98eeXl5SExMtFthB4AlS5aY\nXi2/k5eXFxISEuyWw1F5e3sjLi7OaQo78O9pq6tXr1qMV1RUPJBmc0QPkkvuuSsUCnTv3h0vvfQS\nOnbsiOTkZLP5RYsWSZ6htLTU6k32AQEBKC4ulvzr04O3cOFCPPfcc1izZo3pTLvBYMC7777bpi48\nJ+fgksVdo9GYzrmLOhZZWVnZ5Fxtba0dk9CDEhcXh8ceewxLly41Oy3z4YcfIjIyUnA6InMuvecu\nUkxMDMLDw/HKK6+YjW/cuBEHDhxAWlqaoGRE1Ba4ZHFfsGBBs/P2uJC5tLQU0dHRcHNzg0qlAgAc\nP34cN27cwM6dO9GzZ0/JM9CDtWHDBoSGhmLQoEEAgHnz5mHHjh1QKBTYsmUL2w+QQ3HJbZnbxVSk\nHj16IDc3F4cOHTJdnBwREdGmbmByNWvXrsXcuXMBAKmpqTh58iQuXryIvLw8xMfHIzs7W2xAoju4\n5MrdEWRmZpoKeVFREXx9fU1zer2+TbUfcBV3doWMjY3F6NGjER8fD4C9hMjxuGRxj4qKanZ+z549\nkmfgdWquJzAwEHv37oW3tzcUCgUyMzOhVCoBAP7+/jh37pzghET/ccltmSNHjqBPnz6IiYnB6NGj\nhbzqbuRFyC5n+fLlCAoKQkNDA6KiokyFPSsrC/379xecjsicSxb3P//8EwcOHIBWq0VqaioiIiIQ\nExNj+sNoD3e2HL67/bC1dsTk+CZPnoxLly6hqqoK3t7epvGgoCCefiKH45LbMl9X2xcAABAxSURB\nVHeqr6+HVquFRqPBsmXL7NY7/OGHH0ZISAiMRiOys7MREhIC4N9V++HDh62+6UiOrbkWzkDbauNM\njs9li3t9fT327t0LrVaL4uJiREVFYd68eaYr3qR29zV7dxs3bpxdctCD89JLLzU519baOJPjc8ni\nPnv2bOTn52PSpElQq9UYOnSo3TPMnTsXW7ZssfvXJSICXLS4y+VydOrUCYD5/raR1+xRK50/fx7r\n16/HL7/8AuDfUzJxcXHw8/MTnIzInEs+UHWEDn3Xr183uzz5bnyb0fkcOXIEU6dORVxcHOLi4mA0\nGpGXl4fQ0FDo9Xo8+eSToiMSmbjkyt0ReHp6YuTIkU1es8fLlJ3PxIkT8e677yI0NNRsPCsrC6tW\nrcK+ffvEBCOygsVdIk888QTy8vJEx6AHyM/PDxcuXLA6N3jwYJw/f97OiYia5pKXdRBJwdPTs8m5\n2894iByFS+65O4LVq1eLjkAP2OXLl612HDUajfjjjz8EJCJqGrdlJBIQEGD1TdTbJ3ZOnTolIBW1\nxtdff93s/Jw5c+yUhOjeWNwlcunSpWbnFQqFnZIQUVvE4k5E5IK45y4RT0/PZrdl7PEiFRG1XVy5\n2wGPRRKRvXHlbgds8esali9f3uScTCbD0qVL7ZiGqHks7kQ2snaW/fr169i4cSPKy8tZ3MmhsLhL\n5M7e35WVlRa9wNn72/ksXrzY9N9VVVVYu3YtNm3aBLVabTZH5Ai45y4R9v52TRUVFUhKSkJKSgrm\nzJmD+Ph4s1uZiBwFizuRjTQaDfR6PeLi4vDmm2+ic+fOoiMRNYnFXSJJSUno0qULXn75ZbPx5ORk\nVFVVISEhQVAyul9yuRzu7u5o3769sHsCiGzF4i4RlUqFo0eP4qGHHjIbv3HjBoKCgth+gIgkxQeq\nErl165ZFYQcANze3Ji/wIOdw6NAhnDlzBgAwdOhQi/7uRI6AxV0ijY2NKC0tRY8ePczGS0tLBSWi\n1vrjjz8wdepUeHh4QKVSAQDS09NRW1uLnTt32u3ydSJbsLhLRKPRICIiAp999pnpSj2DwQCNRoO3\n335bcDq6H/Pnz8frr7+OuXPnmo1v3boVb7zxBnbv3i0mGJEV3HOX0L59+7Bq1Srk5+dDJpNBqVTi\nvffew8SJE0VHo/vQ3G1LvImJHA2LuwDXr19Hx44dRcegFho0aBAKCgosxhsbG+Hn54fCwkIBqYis\n4zV7EiorK8OxY8dQUVEBAKipqcEnn3yCxx9/XHAyuh+TJ0/GK6+8gpqaGtNYTU0NXnvtNUyaNElg\nMiJLLO4SWbduHYYOHYoFCxZgyJAh+PLLLzFs2DCUlZXhxx9/FB2P7sPq1avRpUsXKBQKqFQqBAYG\nol+/fvDy8sKaNWtExyMyw20ZiSiVSmRnZ6Nr16747bff4Ofnh5ycHNMpC3JetbW1pi2YAQMGcIuN\nHBJPy0jE3d0dXbt2BQD07dsXgwcPZmF3cnc3fwNgtgfPZnDkSFjcJfL7779jwYIFpo+vXLli9vEX\nX3whIha1QkZGRpNzMpmMxZ0cCou7RD799FOzj7lqd36RkZEs4OQ0uOduZ3V1dcjIyMD06dNFR6EW\nCgwMxM8//yw6BpFNeFrGDhoaGvDdd99h1qxZUCgUSEtLEx2JiFwcV+4SysrKQmpqKvbt24dRo0bh\n8OHDuHjxIk9XOKmOHTti4MCBFuO3W/6y0yc5Eu65S6R3794YMmQIXn75ZSQlJaFTp07w9fVlYXdi\nvr6+zT5UJXIkLO4SmTZtGjIyMkxbMJGRkWYXPJDzcXNzg0KhEB2DyCbcc5fI559/jsLCQrz11ls4\nePAg/Pz8UFZWhu3bt6O6ulp0PLoPY8aMaXKOrZzJ0XDP3U5u3ryJ/fv3Q6vVYv/+/fj7779FR6JW\nqqysxI4dO5Camopz586hpKREdCQiExZ3AWpra9GhQwfRMeg+1NbWYvfu3UhNTcWJEydw7do17Nq1\nCyEhIZDL+Y0wOQ7+bhSAhd05xcbGQqlUIisrCwkJCSgqKoK3tzdCQ0NZ2Mnh8HckkY3Onj0LHx8f\n+Pv7w9/fH+3ateNDcnJYLO4C8Jo953TixAls2bIF5eXlCAsLw9ixY1FVVcWHqeSQuOcuQN++ffHb\nb7+JjkGtZDAYoNVqsX37dvTu3Ru5ubmiIxGZsLgL0KdPH1y+fFl0DHpAjEYjsrOzERISIjoKkQlf\nYpLI7av17mY0GsG/T52TRqPBwIED8eqrr5qNr1+/HkVFRSzu5FC4cpeIr68vZDJZk4W8qKjIzomo\ntVQqFY4fP27xELWxsRHDhg1Dfn6+oGRElrhylwiLt+upr6+3ejpGLpfzuzFyODwtY0e//vorVqxY\nAaVSKToK3YcOHTqYXat3W0FBAd9dIIfD4i6xkpISJCUlYeTIkVAqlWhsbIROpxMdi+7D8uXLMXHi\nRGzZsgWnT5/G6dOnsXnzZkRERGD58uWi4xGZ4Z67RNavXw+tVou//voL06ZNw7Rp0xAVFcXtGieX\nn5+PTz/91LS/rlQqodFoEBAQIDgZkTkWd4m4ublhwoQJSExMxLBhwwAA/fv3x8WLFwUnI6K2gA9U\nJXLlyhWkp6fjrbfeQllZGaZNm4abN2+KjkWtcK+e/Hv27LFjGqLmceVuB7///jvS0tKg1WpRU1OD\n6OhofPLJJ6JjUQtlZWU1Oz9u3Dg7JSG6NxZ3idy8eRMPPfSQxfiFCxeg0+nw0UcfCUhFRG0Fi7tE\nfHx8EBUVhZiYGISHh7N7oAsICwtr8v+jTCbDwYMH7ZyIqGks7hIpLy/HN998A51Oh4KCArzwwguI\niYnBk08+KToa3SeDwWAxdvToUaxevRo+Pj44duyYgFRE1rG420FJSQnS09Oh0+nw119/Qa1WY+XK\nlaJjUStkZWVhxYoVqKurwwcffICJEyeKjkRkhsXdTqqrq6HX65GUlIQrV66wB7iT2r9/PxITE+Hu\n7o4PPvgAYWFhoiMRWcXiLqG6ujpkZGRAq9UiNzcXEyZMgFqtxrPPPot27dqJjkctNHLkSJSVlUGj\n0eCpp56ymA8MDBSQisg6FneJxMbG4vvvv8e4ceOgVqsREREBDw8P0bGoFUJDQ5t9oJqZmWnnRERN\nY3GXyNatWxEdHQ1PT0+LudLSUvTo0UNAKiJqK1jc7aSyshI7duxAamoqzp07h5KSEtGRqIX0er3Z\nxzKZDI888ghGjBhh9S9xIpHYfkBCtbW12LVrF7RaLU6cOIFr165h165dvLHHSWVkZFiMVVRU4NSp\nU0hOTkZ4eLiAVETWceUukdjYWBw9ehTjx4/H9OnTMW7cOAwcOJBdIV3QpUuXMGPGDPz444+ioxCZ\nsJ+7RM6ePQsfHx/4+/vD398f7dq141uqLkqhULApHDkcbstI5MSJE/jll1+g1WoRFhaG7t27o6qq\nig9TXdD58+fh7u4uOgaRGW7L2InBYEBqairS09PRu3dv5Obmio5ELWSt5W9FRQWuXLmCbdu2WT37\nTiQKi7udGY1GZGdn86GqE7q75a9MJkO3bt0waNAguLm5CUpFZB23ZSRyrzs1WdydD/u1kzPhyl0i\nn332mcVYTU0NkpOTUV5ejurqagGpqDU8PT3NtmWMRiNkMpnp39euXROYjsgci7sdVFVVYe3atUhO\nTsaMGTOwePFi+Pj4iI5FLfT888/jzz//xNSpU6FWq9G3b1/RkYiaxOIuoYqKCiQlJSElJQVz5sxB\nfHw8vL29RceiVvjnn3+g1+uh0+lQV1eHmTNnQq1Wo2vXrqKjEZlhcZeIRqOBXq9HXFwc3nzzTXTu\n3Fl0JHqAGhsbodPpsGDBAixZsgSLFi0SHYnIDIu7RORyOdzd3dG+fXur+7Tcn3VOubm50Gq1yM7O\nRnBwMGbOnImxY8eKjkVkgcWdyEb9+vXDww8/DLVajfDwcLRvb37YjP3cyZGwuBPZiP3cyZmwuBMR\nuSC+xERko7v7ud9t6tSpdkpCdG9cuRPZSC6XY8SIERgxYgSAfx+O3yaTybBp0yZR0YgssLgT2WjX\nrl3Q6XQoLCzElClTEBMTg4EDB4qORWQViztRC9XU1GD37t1IS0tDeXk5Vq5cyb4z5HB4WQdRC3l4\neKBLly7w8vJCdXU16urqREcissCVO5GNMjMzodPp8NNPP+GZZ56BWq1GUFCQ6FhEVrG4E9lILpdj\n2LBhCA4Ohkwmszjz/sUXXwhKRmSJRyGJbLR582bREYhsxpU70X243Y+fDeHIUfGBKlELfPXVV+jb\nty8UCoXpn3Xr1omORWSBxZ3IRomJicjIyMAPP/yA8vJylJeX49ChQ9i3bx8SExNFxyMyw20ZIhsN\nHjwYJ0+ehIeHh9l4bW0thg8fjgsXLghKRmSJK3ciG8lkMovCDgAdOnSAXM4/SuRY+DuSyEa9evXC\nwYMHLcYzMzPx6KOPCkhE1DRuyxDZ6MyZM5gyZQqCg4OhUqkAAMePH0dOTg52794NpVIpOCHRf1jc\niVqgrq4OqampOHPmDABgyJAhePHFF61u1xCJxOJOZKPCwkKUlpZizJgxZuM5OTno2bMnBgwYICgZ\nkSXuuRPZKCEhAV5eXhbjXl5eSEhIEJCIqGks7kQ2Ki0tRUBAgMV4QEAAiouL7R+IqBks7kQ2qqys\nbHKutrbWjkmI7o3FnchGQUFB2LBhg8X4xo0bTadniBwFH6gS2ai0tBTR0dFwc3MzOwp548YN7Ny5\nEz179hSckOg/LO5ELXTo0CHk5+cDAJRKJcLDwwUnIrLE4k5E5IK4505E5IJY3ImIXBCLOxGRC2Jx\npzZFLpdj9uzZpo8bGhrQvXt3REVFNft5BoOBb6GSU+EF2dSmdOrUCfn5+aivr4e7uzsOHDiAPn36\n3PPzVCpVi86yNzQ0oF27dq2JStQqXLlTmzNp0iTs3bsXAKDVahETE2OaO3bsGJ5++mmoVCoEBwej\noKAAAJCVlYXIyEgAwNWrVxEdHY3hw4fj6aefNh2L/PjjjzF79mwEBwebfXdAJAKLO7UpMpkMarUa\nWq0W9fX1OHXqFEaPHm2a9/f3x+HDh2EwGPDxxx/j/fffN/tcAFi2bBkCAwNx8uRJrFy5ErNmzTL9\nmHPnziEzMxMpKSn2+0URWcFtGWpzhg4diuLiYmi1WkRERODOVz0qKysxe/ZsFBQUQCaT4datWxaf\nf/jwYej1egBAWFgYKioqUF1dDQCIioqCm5ubfX4hRM3gyp3apKioKGg0GrMtGQBYunQpwsPDcfr0\naWRkZKCurq5FP2+nTp0eZEyi+8biTm3K7VX6vHnzsGzZMour8f755x/06tULALB582arP8fYsWOx\nbds2AMAPP/yARx55BJ07d5YwNVHLsbhTm3J737xXr16YP3++xfw777yD9957DyqVCo2NjVY/93//\n+x8MBgOGDx+OJUuWYOvWrdIHJ2oh9pYhssGOHTvw7bffNrmaJ3I0fKBKdA8ZGRlYunQpNm3aJDoK\nkc24cicickHccycickEs7kRELojFnYjIBbG4ExG5IBZ3IiIX9H8212F440TZ+AAAAABJRU5ErkJg\ngg==\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7f5f0a64bf60>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "recent_grads[:10].append(recent_grads[-10:]).plot.bar(x='Major', y='Unemployment_rate')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "In the following, we compare the number of men with the number of women in each category of majors."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Major_category</th>\n",
       "      <th>Total_Men</th>\n",
       "      <th>Total_Women</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Engineering</td>\n",
       "      <td>408307.0</td>\n",
       "      <td>129276.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Business</td>\n",
       "      <td>667852.0</td>\n",
       "      <td>634524.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Physical Sciences</td>\n",
       "      <td>95390.0</td>\n",
       "      <td>90089.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Law &amp; Public Policy</td>\n",
       "      <td>91129.0</td>\n",
       "      <td>87978.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Computers &amp; Mathematics</td>\n",
       "      <td>208725.0</td>\n",
       "      <td>90283.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>Industrial Arts &amp; Consumer Services</td>\n",
       "      <td>103781.0</td>\n",
       "      <td>126011.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>Arts</td>\n",
       "      <td>134390.0</td>\n",
       "      <td>222740.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>Health</td>\n",
       "      <td>75517.0</td>\n",
       "      <td>387713.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>Social Science</td>\n",
       "      <td>256834.0</td>\n",
       "      <td>273132.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>Biology &amp; Life Science</td>\n",
       "      <td>184919.0</td>\n",
       "      <td>268943.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>Education</td>\n",
       "      <td>103526.0</td>\n",
       "      <td>455603.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>Agriculture &amp; Natural Resources</td>\n",
       "      <td>40357.0</td>\n",
       "      <td>35263.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>Humanities &amp; Liberal Arts</td>\n",
       "      <td>272846.0</td>\n",
       "      <td>440622.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>Psychology &amp; Social Work</td>\n",
       "      <td>98115.0</td>\n",
       "      <td>382892.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>Communications &amp; Journalism</td>\n",
       "      <td>131921.0</td>\n",
       "      <td>260680.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>Interdisciplinary</td>\n",
       "      <td>2817.0</td>\n",
       "      <td>9479.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                         Major_category  Total_Men  Total_Women\n",
       "0                           Engineering   408307.0     129276.0\n",
       "1                              Business   667852.0     634524.0\n",
       "2                     Physical Sciences    95390.0      90089.0\n",
       "3                   Law & Public Policy    91129.0      87978.0\n",
       "4               Computers & Mathematics   208725.0      90283.0\n",
       "5   Industrial Arts & Consumer Services   103781.0     126011.0\n",
       "6                                  Arts   134390.0     222740.0\n",
       "7                                Health    75517.0     387713.0\n",
       "8                        Social Science   256834.0     273132.0\n",
       "9                Biology & Life Science   184919.0     268943.0\n",
       "10                            Education   103526.0     455603.0\n",
       "11      Agriculture & Natural Resources    40357.0      35263.0\n",
       "12            Humanities & Liberal Arts   272846.0     440622.0\n",
       "13             Psychology & Social Work    98115.0     382892.0\n",
       "14          Communications & Journalism   131921.0     260680.0\n",
       "15                    Interdisciplinary     2817.0       9479.0"
      ]
     },
     "execution_count": 27,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "major_categories = recent_grads['Major_category'].unique()\n",
    "major_categ_total_men_women = []\n",
    "for major_cat in major_categories:\n",
    "    sum_men = recent_grads.loc[recent_grads['Major_category'] == major_cat, 'Men'].sum()\n",
    "    sum_women = recent_grads.loc[recent_grads['Major_category'] == major_cat, 'Women'].sum()\n",
    "    major_total = (major_cat, sum_men, sum_women)\n",
    "    major_categ_total_men_women.append(major_total)\n",
    "men_women_cat_major = pd.DataFrame(major_categ_total_men_women, columns = ['Major_category', 'Total_Men', 'Total_Women'])\n",
    "men_women_cat_major"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "metadata": {
    "collapsed": false,
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x7f5f0a4a59b0>"
      ]
     },
     "execution_count": 28,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAYcAAAG7CAYAAAAoplmoAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\nQmCC\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7f5f0a503358>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "men_women_cat_major[[\"Major_category\", \"Total_Men\", \"Total_Women\"]].plot(x=\"Major_category\", kind=\"bar\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Visualizing distribution of variables using boxplots"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "metadata": {
    "collapsed": false,
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.text.Text at 0x7f5f0a3bbba8>"
      ]
     },
     "execution_count": 29,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAXcAAAELCAYAAAAiIMZEAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\nRgAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7f5f0a3ea198>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "ax = recent_grads['Unemployment_rate'].plot.box()\n",
    "ax.set_ylim(-0.005,0.2)\n",
    "ax.set_title('Distribution of Unemployment rate')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "metadata": {
    "collapsed": false,
    "scrolled": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.text.Text at 0x7f5f0c1c9470>"
      ]
     },
     "execution_count": 30,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAYcAAAEKCAYAAAD5MJl4AAAABHNCSVQICAgIfAhkiAAAAAlwSFlz\nAAALEgAACxIB0t1+/AAAIABJREFUeJzt3XtcVXWi///X5qJlKbApQDYEphsCE7XCtBpDMjBKzImI\nLlzUecw8dJrinCm7l0yN0ON0sxmZM6cwodsOHmeOcirCsqgenUkyraa8gIUCu8AKBEwRxfX7w2/r\nBy5Bbt7y/Xw89jzgs9Znrc8iZ7/357M+67NthmEYiIiIdOFxohsgIiInH4WDiIhYKBxERMRC4SAi\nIhYKBxERsVA4iIiIhcJB+mzhwoX8+c9/HpJj1dXVMWrUKH6eST1jxgxWrFgxJMcGSEpK4sUXXxyy\n4/XVgw8+yLnnnktwcPBxO2dhYSG/+tWvzN9HjhzJ9u3bj9v5+2LevHk8/PDDJ7oZ0g8KBwEgPDyc\nESNG4OPjg91u54orruDvf/87XR+D+dvf/sYDDzxw1GONGTOGd999t9d9QkNDaW1txWazDbrtOTk5\nZGRkdCt78803SU9PH/Sx+6Ouro6nnnqKLVu28O2331q2v//++3h4eHDDDTd0K//iiy/w8PAgPj5+\nwOfu+ndsa2sjPDx8wMfqidvtJiUlhXPPPRc/Pz9iYmIoKioa8vPIycHrRDdATg42m4033niDGTNm\n0NbWxvvvv88dd9zBunXrhvQTPUBnZyeenp5DesyTwY4dOzjnnHPw9/fvcZ9zzz2Xf/7znzQ3N+Pn\n5wcc+uQfGRl5vJo5YOnp6UyePJm6ujqGDRvGv/71LxoaGo75eQ3DGJIPEdI/6jmI6edewsiRI7nu\nuut47bXXKCwsZNOmTUD3oYEff/yR2bNn4+fnh7+/P1deeSUAGRkZ1NbWMnv2bEaNGsUTTzzBjh07\n8PDwYMWKFYSFhXHVVVeZZQcPHjTPv23bNi699FJ8fHyYO3cuu3btAg594g4NDe3W1p97J+Xl5Sxd\nupTXXnuNkSNHMnnyZKD7MJVhGDz22GOEh4cTFBREVlYWra2tAGY7ioqKCAsLIyAggKVLl/b4N2pt\nbSUjI4OAgADGjBljDrOtXbuWhIQEvv32W0aNGsX8+fOPWH/YsGFcf/31vPrqqwAcPHiQ1157jVtv\nvbXbflu2bCEhIQF/f3+ioqIoKSkxtzU1NZGcnIyPjw9Tp07l66+/7lbXw8ODb775BjjUg7rooovw\n8fEhLCyMnJwcc7/+Xvsnn3xCZmYmZ5xxBh4eHkycOJHExERze2pqKqNHj8bPz4+4uDjz383hdu3a\nxezZswkICMDf35/Zs2fjdrvN7TNmzODBBx/kiiuu4KyzzuLJJ5/kkksu6XaMp556irlz5/bYVhk8\nhYP0KDY2lpCQED788EPLtieffJLQ0FB+/PFHdu7cab6pFBUVcd555/H666/T2trKXXfdZdb54IMP\n2LJlC+Xl5QCWT4MvvvgiK1eupKGhAU9PT/7whz+Y23r65JiYmMj999/PTTfdRFtbGxs3brTs88IL\nL1BUVMT777/PN998Q1tbG7fffnu3fT766COqq6t55513+NOf/sTWrVuPeL7bb7+dtrY2tm/fTkVF\nBUVFRbzwwgtcddVVlJWVERwcTGtra4+9LZvNRkZGhjkcU15ezoQJExg9erS5z549e0hISOC2227j\nhx9+wOVysWjRIrZs2QLAokWLGDFiBI2NjRQUFFjO1fVvdfbZZ/Piiy/S0tLCG2+8wX/+539SWlo6\noGufNm0aixYt4rXXXqOurs6yPSkpia+//pqdO3dy0UUXWQLvZwcPHmT+/PnU1dVRW1vLiBEjLP89\nXnrpJZ5//nna2tq444472L59e7d2vfTSS2RmZh7x+DI0FA7Sq+DgYJqamizl3t7efPfdd9TU1ODp\n6cnll1/ebfvhS3bZbDZycnI488wzGT58+BHPlZ6eTlRUFGeeeSaPPvooJSUlluMMxCuvvMK///u/\nExYWxogRI8jNzcXlcpm9FpvNxpIlSxg2bBgxMTFMnDiRzz//3HKcnz/l5+XlMWLECMLCwvjjH//Y\n7xvfU6dOpbm5maqqKoqKiiz3S15//XXGjBlDRkYGNpuNiRMncsMNN1BSUsLBgwf5xz/+waOPPsoZ\nZ5zB+PHjLW+SXf9m06dPZ/z48QBceOGFpKWl8f7775vb+3rtACUlJUyfPp3HHnuM888/n4suuoj1\n69eb27OyshgxYgTe3t48/PDDfP7557S1tVmOY7fbmTt3LsOHD+ess87ivvvu44MPPui2T1ZWFhdc\ncAEeHh4MGzaM1NRUXnrpJQC++uorduzYwbXXXtuXP7cMkMJBeuV2u7Hb7Zbyu+++m7Fjx5KQkMC4\nceN4/PHHj3qskJCQXrd3HToKCwtj//79/PDDD/1v9GG+/fZbwsLCuh37wIEDNDY2mmWBgYHmzyNG\njGD37t2W4/zwww8cOHCA8847r9uxug6J9FV6ejp//etfqaiosAyP7Nixg48//hi73Y7dbsfPz49X\nXnmFxsZGvv/+ew4cONDtb9n12g63bt064uPjCQgIwNfXl7///e+Wv2lfrh3Ax8eHpUuX8q9//YvG\nxkYmTpzI9ddfDxwKznvvvZdx48bh6+vLmDFjsNlsR/zvt3fvXn73u98RHh6Or68vV155Jbt27eoW\naocPI2ZkZPDKK68Ah3oNqampeHt793jdMngKB+nRJ598wrffftttmuTPzj77bJ544gm+/vprSktL\neeqpp3jvvfeAnoeAjnZTsetQxY4dO/D29uacc87hrLPOYs+ePea2zs5Ovv/++z4fNzg4mB07dliO\n3fVNsS/OOeccvL29LcdyOBz9Og7AbbfdRn5+Ptdeey1nnHFGt22hoaHExcXR1NREU1MTzc3NtLa2\n8te//pVzzz0Xb2/vbn+r2traHs9z6623cv311+N2u9m1axe/+93vhqQ3Zrfbueuuu/juu+9obm7m\n5Zdf5n//939599132bVrF9u3b8cwjCOe64knnqC6uppPPvmEXbt2mb2Grvse/t906tSpDBs2jA8/\n/JBXXnnluM9EOx0pHMSira2N119/nZtvvpn09HSio6Mt+7zxxhvmjdCRI0fi5eVlzkAKDAw0b4j+\n7EhvEoeXvfTSS2zZsoU9e/bwyCOPcOONN2Kz2YiIiKC9vZ2ysjIOHDjAY489RkdHh1kvMDDQfDM6\nkptvvpmnn36a7du3s3v3bh544AHS0tLw8PDosW1H4uHhQWpqKg888AC7d+9mx44dPP300wN6owoP\nD+eDDz7gscces2y77rrrqKqq4qWXXuLAgQPs37+f9evXs3XrVjw8PPj1r3/NkiVL2Lt3L5s2baKw\nsLDH8+zevRs/Pz+8vb2prKw0P33/rD9Bce+99/LVV1/R2dlJW1sb+fn5OJ1O/Pz82L17N8OHD8fP\nz4+ffvqJ++67r8fQ3r17N2eeeSajRo2iqamJJUuW9On8t912G7fffjvDhg3jsssu63O7ZWAUDmKa\nPXs2Pj4+nHfeeeTm5nLXXXf1eGO1urqamTNnMnLkSC6//HJ+//vfM336dADuu+8+Hn30Uex2O089\n9RRw5E/3XctsNhvp6elkZmYSHBxMR0cHy5YtA2DUqFHk5+ezYMECQkJCGDlyZLdhlRtvvBHDMPD3\n9zdntXQ99vz580lPT2f69OmMHTuWESNG8Oyzzx6xHT219WfPPvssI0aM4Pzzz2f69OncdtttzJs3\nr8f9e3PZZZcRFBRkKT/77LNZs2YNLpeL4OBggoODuffee9m3bx8Af/nLX2hra2P06NHMnz/fMjOq\na/vz8/N56KGH8PHx4bHHHuOmm27q9Vp7u/Y9e/Ywd+5c/Pz8GDduHHV1daxevRo4NOxz3nnn4XA4\nuPDCC3t9887OzmbPnj2cc845XHbZZSQlJfWpDenp6Xz55ZfqNRwvxlHMnz/fCAgIMCZMmGCWlZSU\nGOPHjzc8PDyMTz/9tNv+S5cuNcaNG2dccMEFRnl5uVn+6aefGhMmTDCcTqdx5513muX79u0zbrrp\nJmPcuHHG1KlTjR07dpjbVq5caTidTiMiIsIoLCw8WlNF5Bds7969xqhRo4xt27ad6KacFo4aDh9+\n+KGxcePGbuGwZcsWo6qqypgxY0a3cNi0aZMxadIkY//+/UZNTY0xduxY4+DBg4ZhGMaUKVOMyspK\nwzAM45prrjHeeustwzAMIz8/31i4cKFhGIbhcrmMm266yTAMw2hqajLOP/98Y9euXUZzc7P5s4ic\nnp588knjqquuOtHNOG0cdVjpiiuuMJ/k/FlkZCROp9MyXrl69WrS0tLw8vIiPDwcp9NJZWUlDQ0N\ntLW1ERsbCxzqgq5atcqs8/NUvJSUFHPZhfLychISEvDx8cHX15eEhATeeuutwXeVROSUM2bMGP7y\nl7/w5JNPnuimnDaGdPkMt9vNtGnTzN8dDgdutxsvL69uY8QhISHm9D+3221OW/P09MTHx4empqZu\n5V2PJSKnn5qamhPdhNPOSXdD+vDeiIiIHH9D2nNwOBzd5l/X19fjcDh6LO9aJzg4mM7OTlpbW7Hb\n7TgcDioqKrrVmTFjxhHPq0W5REQGpqcP5H3qORg9PMxy+IGTk5NxuVx0dHRQU1PDtm3bmDJlCkFB\nQfj4+FBZWYlhGBQVFTFnzhyzzs/ztEtKSsxlixMTE3n77bdpaWmhubmZt99+u9siXz21US+9TrbX\nlVdeecLboJdeR3r15qg9h1tuuYWKigp+/PFHzjvvPHJycvDz8+MPf/gDP/zwA9dddx2TJk2irKyM\n6OhoUlNTiY6Oxtvbm/z8fPNT/fLly8nKyqK9vZ2kpCRmzZoFwIIFC0hPT8fpdOLv74/L5QLAz8+P\nhx56iEsuuQSbzcYjjzyCr6/v0ZorIiJDwGYcLT5OATab7agpKHKiZGVlsXLlyhPdDBGL3t47T7ob\n0iK/NFlZWSe6CSL9pp6DiMhpSj0HERHpF4WDiIhYKBxERMRC4SAiIhYKBxERsVA4iIiIhcJBREQs\nFA4iImKhcBAREQuFg4iIWCgcRETEQuEgIiIWCgcREbFQOIiIiMVRw2HBggUEBgYSExNjljU3N5OQ\nkEBkZCSJiYm0tLSY23Jzc3E6nURFRbFmzRqzfMOGDcTExBAREUF2drZZ3tHRQVpaGk6nk2nTplFb\nW2tuKywsJCIigsjISIqKigZ9sSIi0jdHDYd58+ZRXl7erSwvL4+ZM2eydetW4uPjyc3NBWDTpk0U\nFxezefNmysrKWLRokblW+MKFCykoKKCqqoqqqirzmAUFBdjtdqqrq8nOzmbx4sXAoQD605/+xCef\nfMK6devIycnpFkIiInLsHDUcrrjiCvz8/LqVrV69mszMTAAyMzNZtWoVAKWlpaSlpeHl5UV4eDhO\np5PKykoaGhpoa2sjNjYWgIyMDLNO12OlpKTw7rvvAlBeXk5CQgI+Pj74+vqSkJDAW2+9NUSXLSIi\nvRnQPYedO3cSGBgIQFBQEDt37gTA7XYTGhpq7udwOHC73bjdbkJCQszykJAQ3G63pY6npyc+Pj40\nNTX1eCwRETn2vIbiIDabbSgOAzDgr/tcsmSJ+XNcXBxxcXFD0yARkV+IiooKKioq+rTvgMIhMDCQ\nxsZGAgMDaWhoICAgADj06b6urs7cr76+HofD0WN51zrBwcF0dnbS2tqK3W7H4XB0u4j6+npmzJjR\nY5u6hoOIiFgd/sE5Jyenx337NKxkGEa3T/TJycmsXLkSODSjaM6cOWa5y+Wio6ODmpoatm3bxpQp\nUwgKCsLHx4fKykoMw6CoqKhbncLCQgBKSkqIj48HIDExkbfffpuWlhaam5t5++23SUxM7PtfQURE\nBs44iptvvtkYPXq0MWzYMCM0NNRYsWKF0dTUZFx11VVGRESEcfXVVxvNzc3m/kuXLjXGjh1rXHDB\nBUZ5eblZvn79euPCCy80xo0bZ9xxxx1meXt7u3HjjTca48aNMy699FKjpqbG3PbCCy8Y48aNM5xO\np1FYWNhjG/twGSIicpje3jtt/2+HU5rNZhvwvQoRkdNVb++dekJaREQsFA4iImKhcBAREQuFg4iI\nWCgcRETEQuEgIiIWCgcREbFQOIiIiIXCQURELBQOIiJioXAQERELhYOIiFgoHERExELhICIiFgoH\nERGxUDiIiIjFoMJh2bJlTJgwgQkTJvDss88C0NzcTEJCApGRkSQmJtLS0mLun5ubi9PpJCoqijVr\n1pjlGzZsICYmhoiICLKzs83yjo4O0tLScDqdTJs2jdra2sE0V0RE+mjA4fDVV19RUFDA+vXr+eyz\nz3j99df5+uuvycvLY+bMmWzdupX4+Hhyc3MB2LRpE8XFxWzevJmysjIWLVpkfgPRwoULKSgooKqq\niqqqKsrLywEoKCjAbrdTXV1NdnY2ixcvHoJLFhGRoxlwOGzevJlLL72U4cOH4+npyfTp0/nHP/5B\naWkpmZmZAGRmZrJq1SoASktLSUtLw8vLi/DwcJxOJ5WVlTQ0NNDW1kZsbCwAGRkZZp3Vq1ebx0pJ\nSWHt2rWDulgREembAYfDhRdeyIcffkhzczN79uzhzTffpK6ujsbGRgIDAwEICgpi586dALjdbkJD\nQ836DocDt9uN2+0mJCTELA8JCcHtdlvqeHp64uvrS1NT00CbLCIifeQ10IoXXHAB99xzD1dffTVn\nn302kydPxtPT07KfzWYbVAO76umLsAGWLFli/hwXF0dcXNyQnVdE5JegoqKCioqKPu074HAAmDdv\nHvPmzQPggQceIDQ0lMDAQLP30NDQQEBAAHCop1BXV2fWra+vx+Fw9FjetU5wcDCdnZ20trZit9uP\n2Jau4SAiIlaHf3DOycnpcd9BzVb6/vvvAaitreV//ud/uOWWW0hOTmblypUAFBYWMmfOHACSk5Nx\nuVx0dHRQU1PDtm3bmDJlCkFBQfj4+FBZWYlhGBQVFXWrU1hYCEBJSQnx8fGDaa6IiPSRzehtrOYo\npk+fTlNTE97e3jz99NPExcXR1NREamoqdXV1hIWFUVxcjK+vL3BoKmtBQQHe3t4sW7aMhIQEAD79\n9FOysrJob28nKSmJZcuWAbBv3z7S09PZuHEj/v7+uFwuwsPDrRdhs/U65CQiIla9vXcOKhxOFgoH\nEZH+6+29U09Ii4iIhcJBREQsFA4iImKhcBAREQuFg4iIWCgcRETEQuEgIiIWCgcREbFQOIiIiIXC\nQURELBQOIiJioXAQERELhYOIiFgoHERExELhICIiFgoHERGxGFQ45ObmMn78eGJiYrj11lvp6Oig\nubmZhIQEIiMjSUxMpKWlpdv+TqeTqKgo1qxZY5Zv2LCBmJgYIiIiyM7ONss7OjpIS0vD6XQybdo0\namtrB9NcERHpowGHw44dO3juuefYuHEjX3zxBQcOHODVV18lLy+PmTNnsnXrVuLj48nNzQVg06ZN\nFBcXs3nzZsrKyli0aJH5DUQLFy6koKCAqqoqqqqqKC8vB6CgoAC73U51dTXZ2dksXrx4CC5ZRESO\nZsDhMGrUKIYNG8ZPP/3EgQMH2Lt3Lw6Hg9WrV5OZmQlAZmYmq1atAqC0tJS0tDS8vLwIDw/H6XRS\nWVlJQ0MDbW1txMbGApCRkWHW6XqslJQU1q5dO6iLFRGRvhlwOPj5+fHHP/6R8847D4fDgY+PDzNn\nzqSxsZHAwEAAgoKC2LlzJwBut5vQ0FCzvsPhwO1243a7CQkJMctDQkJwu92WOp6envj6+tLU1DTQ\nJouISB95DbTiN998w9NPP82OHTvw8fHhxhtv5OWXX8Zms3Xb7/DfB6OnL8IGWLJkiflzXFwccXFx\nQ3ZeEZFfgoqKCioqKvq074DDYf369Vx++eXY7XYA5s6dy//93/8RGBho9h4aGhoICAgADvUU6urq\nzPr19fU4HI4ey7vWCQ4OprOzk9bWVvN8h+saDiIiYnX4B+ecnJwe9x3wsFJkZCQff/wx7e3tGIbB\n2rVriY6OJjk5mZUrVwJQWFjInDlzAEhOTsblctHR0UFNTQ3btm1jypQpBAUF4ePjQ2VlJYZhUFRU\n1K1OYWEhACUlJcTHxw+0uSIi0g8D7jlMnDiRjIwMLr74Yjw9PZk8eTK//e1vaWtrIzU1lRUrVhAW\nFkZxcTEA0dHRpKamEh0djbe3N/n5+eaQ0/Lly8nKyqK9vZ2kpCRmzZoFwIIFC0hPT8fpdOLv74/L\n5RqCSxYRkaOxGb0N5J8ibDZbr/cjRETEqrf3Tj0hLSIiFgoHERGxUDiIiIiFwkFERCwUDiLHWF8f\nOhI5mSgcRI4xhYOcihQOIiJiMeCH4ESkZ13XsOm6RIHW/ZJThcJB5Bg4PAS09pecajSsJHKMbd++\n/UQ3QaTfFA4iImKhcBA5xsLDw090E0T6TfccRI4B3ZCWU53CQeQY0A1pOdVpWElERCwGHA5VVVVM\nnjyZiy66iMmTJ+Pj48Ozzz5Lc3MzCQkJREZGkpiYSEtLi1knNzcXp9NJVFQUa9asMcs3bNhATEwM\nERERZGdnm+UdHR2kpaXhdDqZNm0atbW1A22uyAmjYSQ5JRlDoLOz0xg9erRRW1trLF682Hj88ccN\nwzCMvLw845577jEMwzC++uorY9KkScb+/fuNmpoaY+zYscbBgwcNwzCMKVOmGJWVlYZhGMY111xj\nvPXWW4ZhGEZ+fr6xcOFCwzAMw+VyGTfddNMRzz9ElyEiclrp7b1zSIaV3nnnHcaOHUtoaCirV68m\nMzMTgMzMTFatWgVAaWkpaWlpeHl5ER4ejtPppLKykoaGBtra2oiNjQUgIyPDrNP1WCkpKaxdu3Yo\nmityXGltJTkVDUk4vPbaa9xyyy0ANDY2EhgYCEBQUBA7d+4EwO12ExoaatZxOBy43W7cbjchISFm\neUhICG6321LH09MTX19fmpqahqLJIseNwkFORYMOh/3791NaWsqNN94IHPpO0q4O/30wDH1PtIjI\ncTHoqaxlZWVcfPHFnHPOOQAEBgaavYeGhgYCAgKAQz2Furo6s159fT0Oh6PH8q51goOD6ezspLW1\nFbvdfsR2dJ0qqLnkcqLpOQc5GXX9d3lUg72hkZaWZqxcudL8ffHixUZeXp5hGEe+Ib1v3z7jm2++\n6XZD+tJLLzXWrVtnHDx40LjmmmuMsrIywzAMY/ny5eYN6VdffVU3pOWU9Mgjj5zoJogcUW/vnYPq\nOezZs4d33nmH//qv/zLL7rnnHlJTU1mxYgVhYWEUFxcDEB0dTWpqKtHR0Xh7e5Ofn28OOS1fvpys\nrCza29tJSkpi1qxZACxYsID09HScTif+/v64XK7BNFdERPrI9v/S45Rms9l0P0JOWhUVFRpKkpNS\nb++dCgcRkdNUb++dWj5DREQsFA4iImKhcBAREQuFg4iIWCgcRI6xZ5555kQ3QaTfFA4ix9jPC0mK\nnEoUDiIiYqGvCRU5Bp555hmzx/D++++bD8Fdf/313b7QSuRkpYfgRI6xuLg4LdstJyU9BCciIv2i\ncBA5xq6//voT3QSRftOwkojIaUrDSiIi0i8KBxERsVA4iIiIxaDCoaWlhRtvvJGoqCjGjx/PunXr\naG5uJiEhgcjISBITE2lpaTH3z83Nxel0EhUVxZo1a8zyDRs2EBMTQ0RERLc54B0dHaSlpeF0Opk2\nbRq1tbWDaa7IoNlstuPyEjnRBhUOd955J0lJSWzevJnPP/+cCy64gLy8PGbOnMnWrVuJj48nNzcX\ngE2bNlFcXMzmzZspKytj0aJF5o2QhQsXUlBQQFVVFVVVVZSXlwNQUFCA3W6nurqa7OxsFi9ePMjL\nFRkcwzD6/YKB1BE5sQYcDq2trXz44YfMmzcPAC8vL3x8fFi9ejWZmZkAZGZmmk+JlpaWkpaWhpeX\nF+Hh4TidTiorK2loaKCtrY3Y2FgAMjIyzDpdj5WSksLatWsHfqUiItJnAw6HmpoazjnnHObNm8dF\nF13Eb3/7W/bs2UNjYyOBgYEABAUFsXPnTgDcbjehoaFmfYfDgdvtxu12ExISYpaHhITgdrstdTw9\nPfH19aWpqWmgTRYRkT4acDgcOHCADRs28Pvf/54NGzZw1llnkZeXZxkvHcrxU3W3RUSOjwEvvBcS\nEkJoaCiXXHIJADfccAN5eXkEBgaavYeGhgYCAgKAQz2Furo6s359fT0Oh6PH8q51goOD6ezspLW1\nFbvdfsT2LFmyxPw5Li7OXOhMREQOqaio6PM6X4N6QvrKK6/kueeeIyIigpycHPbs2QOA3W7nnnvu\n4fHHH6e5uZm8vDw2bdrErbfeyrp163C73Vx99dVUV1djs9mYOnUqzz77LLGxsVx77bXccccdzJo1\ni/z8fL788kvy8/NxuVysWrUKl8tlvQg9IS0nsSVLDr1ETja9vXcOKhw+//xzfvOb37B//37OP/98\nXnjhBTo7O0lNTaWuro6wsDCKi4vx9fUFDk1lLSgowNvbm2XLlpGQkADAp59+SlZWFu3t7SQlJbFs\n2TIA9u3bR3p6Ohs3bsTf3x+Xy0V4eHi/LlBERI7smIXDyULhICLSf1pbSURE+kXhICIiFgoHERGx\nUDiIHGOaqSSnIt2QFjnGbDbQP085GemGtIiI9IvCQURELBQOIiJioXAQERELhYPIMfbIIye6BSL9\np9lKIiKnKc1WEhGRflE4iIiIhcJBREQsFA4iImKhcBA5xrS2kpyKBhUO4eHhTJw4kcmTJzNlyhQA\nmpubSUhIIDIyksTERFpaWsz9c3NzcTqdREVFsWbNGrN8w4YNxMTEEBERQXZ2tlne0dFBWloaTqeT\nadOmUVtbO5jmipwQOTknugUi/TeocPDw8KCiooKNGzdSWVkJQF5eHjNnzmTr1q3Ex8eTm5sLwKZN\nmyguLmbz5s2UlZWxaNEicwrVwoULKSgooKqqiqqqKsrLywEoKCjAbrdTXV1NdnY2ixcvHkxzRUSk\njwYVDoZhcPDgwW5lq1evJjMzE4DMzExWrVoFQGlpKWlpaXh5eREeHo7T6aSyspKGhgba2tqIjY0F\nICMjw6xJolunAAAODUlEQVTT9VgpKSmsXbt2MM0VEZE+GlQ42Gw2rr76amJjY3n++ecBaGxsJDAw\nEICgoCB27twJgNvtJjQ01KzrcDhwu9243W5CQkLM8pCQENxut6WOp6cnvr6+NDU1DabJIiLSB16D\nqfzRRx8xevRovv/+e/M+g81m67bP4b8PRm9PQS/pctcvLi6OuLi4ITuviMgvQUVFBRUVFX3ad1Dh\nMHr0aADOPfdcrr/+eiorKwkMDDR7Dw0NDQQEBACHegp1dXVm3fr6ehwOR4/lXesEBwfT2dlJa2sr\ndrv9iG1ZoikhcpLS2kpysjj8g3NOL7MlBjystGfPHnbv3g3ATz/9xJo1a5gwYQLJycmsXLkSgMLC\nQubMmQNAcnIyLpeLjo4Oampq2LZtG1OmTCEoKAgfHx8qKysxDIOioqJudQoLCwEoKSkhPj5+oM0V\nOWH0uUVORQPuOTQ2NjJ37lxsNhsHDhzg1ltvJSEhgUsuuYTU1FRWrFhBWFgYxcXFAERHR5Oamkp0\ndDTe3t7k5+ebQ07Lly8nKyuL9vZ2kpKSmDVrFgALFiwgPT0dp9OJv78/LpdrCC5ZRESORquyioic\nprQqq4iI9IvCQURELBQOIseYbkjLqUj3HESOMZsN9M9TTka65yAiIv2icBAREQuFg4iIWCgcRETE\nYlBrK4mc6ux2aG4+9ucZwvUnj8jPD7RgsQwlzVaS09ovZSbRL+U65PjSbCUREekXhYOIiFgoHERE\nxELhICIiFgoHERGxUDiIiIjFoMPh4MGDXHTRRSQnJwPQ3NxMQkICkZGRJCYm0tLSYu6bm5uL0+kk\nKiqKNWvWmOUbNmwgJiaGiIgIsrOzzfKOjg7S0tJwOp1MmzaN2trawTZXRET6YNDhsGzZMqKjo83f\n8/LymDlzJlu3biU+Pp7c3FwANm3aRHFxMZs3b6asrIxFixaZ82sXLlxIQUEBVVVVVFVVUV5eDkBB\nQQF2u53q6mqys7NZvHjxYJsrIiJ9MKhwqK+v58033+Q3v/mNWbZ69WoyMzMByMzMZNWqVQCUlpaS\nlpaGl5cX4eHhOJ1OKisraWhooK2tjdjYWAAyMjLMOl2PlZKSwtq1awfTXBER6aNBhcO//du/8R//\n8R/YuqwN0NjYSGBgIABBQUHs3LkTALfbTWhoqLmfw+HA7XbjdrsJCQkxy0NCQnC73ZY6np6e+Pr6\n0qQ1AkREjrkBr630xhtvEBgYyKRJk6ioqOhxP9sQLirT2xIZS7p83VZcXBxxcXFDdl4RkV+CioqK\nXt+vuxpwOHz00UeUlpby5ptvsnfvXtra2khPTycoKMjsPTQ0NBAQEAAc6inU1dWZ9evr63E4HD2W\nd60THBxMZ2cnra2t2O32I7Znib6LUUSkV4d/cM7Jyelx3wEPKy1dupTa2lq++eYbXC4X8fHxvPji\ni8yePZuVK1cCUFhYyJw5cwBITk7G5XLR0dFBTU0N27ZtY8qUKQQFBeHj40NlZSWGYVBUVNStTmFh\nIQAlJSXEx8cPtLkiItIPQ75k97333ktqaiorVqwgLCyM4uJiAKKjo0lNTSU6Ohpvb2/y8/PNIafl\ny5eTlZVFe3s7SUlJzJo1C4AFCxaQnp6O0+nE398fl8s11M0VEZEj0JLdclr7pSx1/Uu5Djm+tGS3\niIj0i8JBREQsFA4iImKhcBAREQuFg4iIWAz5VFaRU4mBDYbuIf4TxujyvyJDQeEgpzUbxi9iCqjN\npmiQoaVhJRERsVA4iIiIhcJBREQsFA4iImKhcBAREQuFg4iIWGgqq5z2hvDLCk8YP78T3QL5pVE4\nyGnteDzjoOW05VSkYSUREbEYcDjs27ePSy+9lMmTJzN+/Hjuv/9+AJqbm0lISCAyMpLExERaWlrM\nOrm5uTidTqKiolizZo1ZvmHDBmJiYoiIiCA7O9ss7+joIC0tDafTybRp06itrR1oc0VEpB8GHA7D\nhw/nvffeY+PGjXzxxRe8++67fPTRR+Tl5TFz5ky2bt1KfHw8ubm5AGzatIni4mI2b95MWVkZixYt\nMr+BaOHChRQUFFBVVUVVVRXl5eUAFBQUYLfbqa6uJjs7m8WLFw/BJYuIyNEMalhpxIgRwKFexMGD\nB/Hz82P16tVkZmYCkJmZyapVqwAoLS0lLS0NLy8vwsPDcTqdVFZW0tDQQFtbG7GxsQBkZGSYdboe\nKyUlhbVr1w6muSIi0keDCoeDBw8yefJkgoKCiIuLIzo6msbGRgIDAwEICgpi586dALjdbkJDQ826\nDocDt9uN2+0mJCTELA8JCcHtdlvqeHp64uvrS1NT02CaLHLcPfLIiW6BSP8NaraSh4cHGzdupLW1\nlcTERCoqKrAdNi/w8N8Ho6cvwgZYsmSJ+XNcXBxxcXFDdl6RwejyT1PkhKqoqKCioqJP+w7JVNZR\no0aRlJTE+vXrCQwMNHsPDQ0NBAQEAId6CnV1dWad+vp6HA5Hj+Vd6wQHB9PZ2Ulrayt2u/2IbVii\n/weKiPTq8A/OOTk5Pe474GGlH374wZyJtHfvXt5++20mT55McnIyK1euBKCwsJA5c+YAkJycjMvl\noqOjg5qaGrZt28aUKVMICgrCx8eHyspKDMOgqKioW53CwkIASkpKiI+PH2hzRUSkHwbcc/juu+/I\nzMzEMAwOHjxIeno6V111FZMnTyY1NZUVK1YQFhZGcXExANHR0aSmphIdHY23tzf5+fnmkNPy5cvJ\nysqivb2dpKQkZs2aBcCCBQtIT0/H6XTi7++Py+UagksWEZGjsRm9DeSfImw2W6/3I0RExKq39049\nIS1yjOl2mJyK1HMQOca0tpKcrNRzEBGRflE4iIiIhcJBREQsFA4iImKhcBA5xrS2kpyKNFtJROQ0\npdlKIiLSLwoHERGxUDiIiIiFwkFERCwUDiLHmNZWklORZiuJHGNaW0lOVpqtJCIi/TLgcKivryc+\nPp7x48czYcIEnn32WQCam5tJSEggMjKSxMRE89viAHJzc3E6nURFRbFmzRqzfMOGDcTExBAREUF2\ndrZZ3tHRQVpaGk6nk2nTplFbWzvQ5ooMCZvN1u8XDKSOyIk14HDw8vLiqaee4quvvuKf//wny5cv\nZ8uWLeTl5TFz5ky2bt1KfHw8ubm5AGzatIni4mI2b95MWVkZixYtMrszCxcupKCggKqqKqqqqigv\nLwegoKAAu91OdXU12dnZLF68eAguWWTgDMPo9+u9997rdx2RE23A4RAUFMSkSZMAOPvss4mKiqK+\nvp7Vq1eTmZkJQGZmJqtWrQKgtLSUtLQ0vLy8CA8Px+l0UllZSUNDA21tbcTGxgKQkZFh1ul6rJSU\nFNauXTvwKxU5QSoqKk50E0T6bUjuOWzfvp3PPvuMqVOn0tjYSGBgIHAoQHbu3AmA2+0mNDTUrONw\nOHC73bjdbkJCQszykJAQ3G63pY6npye+vr40NTUNRZNFRKQXgw6H3bt3k5KSwrJlyzj77LMt46VD\nOX6q7raIyPHhNZjKBw4cICUlhfT0dObMmQNAYGCg2XtoaGggICAAONRTqKurM+vW19fjcDh6LO9a\nJzg4mM7OTlpbW7Hb7Udsi27iycksJyfnRDdBpF8G1XOYP38+0dHR3HnnnWZZcnIyK1euBKCwsNAM\njeTkZFwuFx0dHdTU1LBt2zamTJlCUFAQPj4+VFZWYhgGRUVF3eoUFhYCUFJSQnx8/BHbMZCbhHrp\npZdeevU8GjPgh+A++ugjpk+fzoQJE8zpd0uXLmXKlCmkpqZSV1dHWFgYxcXF+Pr6AoemshYUFODt\n7c2yZctISEgA4NNPPyUrK4v29naSkpJYtmwZAPv27SM9PZ2NGzfi7++Py+UiPDx8IM0VEZF++EU8\nIS0iIkNLT0iL9MLDw4OMjAzz987OTs4991ySk5P7dZwZM2awYcMGAK677jpaW1uHtJ0iQ21QN6RF\nfunOOussvvzyS/bt28fw4cN5++23u03JHojXX399iFoncuyo5yByFElJSbzxxhsAvPrqq9x8883m\ntj179rBgwQKmTp3KxRdfTGlpKQDt7e3cfPPNjB8/nl//+te0t7ebdcaMGWM+rzN37lxiY2OZMGEC\nzz//vLnPyJEjefDBB5k0aRKXXXYZ33///fG4VBGTwkGkFzabjbS0NF599VX27dvHF198waWXXmpu\n//Of/8xVV13Fxx9/zLvvvsvdd9/N3r17+dvf/sZZZ53FV199RU5ODuvXr+92zJ+98MILfPLJJ3zy\nyScsW7aM5uZmAH766Scuu+wyPvvsM371q1/x3HPPHb+LFkHhIHJUF154Idu3b+fVV1/l2muv7Tb9\nb82aNeTl5TF58mTi4uLo6OigtraWDz74gNtuuw2ACRMmMHHiRLNO1/rPPPMMkyZNYurUqdTX11Nd\nXQ3A8OHDSUpKAuDiiy9m+/btx+FKRf5/uucg0gfJycncfffdVFRU8MMPP5jlhmHw3//93zidzl7r\nH2lS4Pvvv8+7777LunXrGD58ODNmzDCHn7y9vc39PD09OXDgwBBdiUjfqOcg0ouf39Tnz5/PI488\nwvjx47ttT0xMNJerB/jss88AmD59Oi+//DIAX375JV988YXl2C0tLfj5+TF8+HC2bNnCxx9/bDmv\nyImicBDpxc/3BxwOB7fffrtl+0MPPcT+/fuJiYlhwoQJPPzww8ChZeh3797N+PHjWbJkCZdcconl\nmLNmzWL//v2MHz+e+++/n2nTpln2ETlR9BCciIhYqOcgIiIWCgcREbFQOIiIiIXCQURELBQOIiJi\noXAQERELhYOIiFgoHERExOL/A8WRC5cIyo+6AAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7f5f0a3801d0>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "ax = recent_grads['Median'].plot.box()\n",
    "ax.set_title('Distribution of Median Salary')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Using hexagonal bin plot to visualize different columns behavior"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.text.Text at 0x7f5f0cca19e8>"
      ]
     },
     "execution_count": 31,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAYAAAAD3CAYAAAAUl4NyAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\nSUVORK5CYII=\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7f5f0caff2b0>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "ax = recent_grads.plot.hexbin(x='Total', y='Median', gridsize=20)\n",
    "ax.set_xlabel('Total')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAYoAAAD3CAYAAAADtRO7AAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7f5f0a2ad550>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "ax = recent_grads.plot.hexbin(x='ShareWomen', y= 'Unemployment_rate', C='Median', gridsize=20)\n"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.4.3"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 0
}